Select peer-reviewed publications and pre-prints that leveraged The iPlant Collaborative & CyVerse for computational workflows and/or data hosting over the last 16 years:
2024
Adak, A., A.J. DeSalvio, M.A. Arik, S.C. Murray, (2024) Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize, G3 Genes|Genomes|Genetics, Volume 14, Issue 7, July 2024, jkae092, https://doi.org/10.1093/g3journal/jkae092
Behrens, K. et al., (2024)ERG and c-MYC regulate a critical gene network in BCR::ABL1-driven B cell acute lymphoblastic leukemia.Science Advances.10, eadj8803(2024). DOI:10.1126/sciadv.adj8803
Castro, P., Carmona, A., Perez-Rial, A., Millan, T., Rubio, J., Gil, J. and Die, J.V. (2024), Finding Consensus on the Reference Genomes : A Chickpea Case Study. Legume Science, 6: e224. https://doi.org/10.1002/leg3.224
Chakraborty, T. J.T. Trujillo, T. Kendall, R.A. Mosher, (2024) Cgarophytic Green Algae Encode Ancestral Polymerase IV/Polymerase V Subunits and a CLSY/DRD1 Homolog, Genome Biology and Evolution, Volume 16, Issue 6, June 2024, evae119, https://doi.org/10.1093/gbe/evae119
Evans, M.E.K., S.M.N. Dey, K.A. Heilman, J.R. Tipton, R.J. DeRose, S. Klesse, E.L. Schultz,& J.D. Shaw (2024). Tree rings reveal the transient risk of extinction hidden inside climate envelope forecasts, Proc. Natl. Acad. Sci. U.S.A. 121 (24) e2315700121, https://doi.org/10.1073/pnas.2315700121
Fattel, L., Yanarella, C.F., Ngara, B. et al. Gene function annotations for the maize NAM founder lines. BMC Res Notes 17, 9 (2024). https://doi.org/10.1186/s13104-023-06668-6
, , , , , , , , , , , & (2024). Quantifying leaf symptoms of sorghum charcoal rot in images of field-grown plants using deep neural networks. The Plant Phenome Journal, 7, e20110. https://doi.org/10.1002/ppj2.20110
& (2024) Differential expression of vitellogenin in the brain of Solenopsis invicta workers based on social and nutritional context. Physiological Entomology, 50(1), 64–76. Available from: https://doi.org/10.1111/phen.12467
, , , , , , et al. (2024). Integrating state data assimilation and innovative model parameterization reduces simulated carbon uptake in the Arctic and Boreal region. Journal of Geophysical Research: Biogeosciences, 129, e2024JG008004. https://doi.org/10.1029/2024JG008004
León-Sobrino, C., J-B Ramond, C. Coclet, R-M Kapitango, G. Maggs-Kölling, D.A. Cowan, (2024) Temporal dynamics of microbial transcription in wetted hyperarid desert soils, FEMS Microbiology Ecology, Volume 100, Issue 3, March 2024, fiae009, https://doi.org/10.1093/femsec/fiae009
Li, D., L. Shao, J. Zhang, et al. Peculiar winter dormancy processes of perennial monocots represented by rhizomatous irises with distinct durations. Authorea. January 31, 2024. DOI: 10.22541/au.170666257.77947781/v1R
Mason-Gamer, R.J., D.M. White (2024). The phylogeny of the Triticeae: Resolution and phylogenetic conflict based on genomewide nuclear loci. American Journal of Botany, 111(10), Article e16404. https://doi.org/10.1002/ajb2.16404
Ou,S., et al. (2024). Differences in activity and stability drive transposable element variation in tropical and temperate maize. Genome Research, 34(8), 1140–1153. https://doi.org/10.1101/gr.278131.123
Paneru, B.D., Chini, J., McCright, S.J. et al. (2024) Myeloid-derived miR-6236 potentiates adipocyte insulin signaling and prevents hyperglycemia during obesity. Nature Communications 15, 5394 (2024). https://doi.org/10.1038/s41467-024-49632-z
Pietrzyk, P., N. Phan-Udom, C. Chutoe, L. Pingault, A. Roy, M. Libault, P. J. Saengwilai, A. Bucksch, (2024) DIRT/µ: automated extraction of root hair traits using combinatorial optimization, Journal of Experimental Botany, Volume 76, Issue 2, 10 January 2025, Pages 285–298, https://doi.org/10.1093/jxb/erae385
Richter, A., Schroeder, A.F., Marcon, C., Hochholdinger, F., Jander, G. and Negin, B. (2024), Catechol acetylglucose: a newly identified benzoxazinoid-regulated defensive metabolite in maize. New Phytol, 244: 2474-2488. https://doi.org/10.1111/nph.20209
Rodene, E., Fernando, G. D., Piyush, V., Ge, Y., Schnable, J. C., Ghosh, S., & Yang, J. (2024). Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms. Sensors, 24(7), 2172. https://doi.org/10.3390/s24072172
Roy, R., E. Ward, I. Choi, M. Cosi, T. Edgin, T. S. Hughes, Md Shafayet Islam, A. M Khan, A. Kolekar, M. Rayl, I. Robinson, P. Sarando, E. Skidmore, T.L. Swetnam, M. Wall, Z. Xu, M.L. Yung, N. Merchant, T.J. Wheeler, (2024) MDRepo—an open data warehouse for community-contributed molecular dynamics simulations of proteins, Nucleic Acids Research, Volume 53, Issue D1, 6 January 2025, Pages D477–D486, https://doi.org/10.1093/nar/gkae1109
Seipelt-Thiemann, R.L. (2024). Cryptococcus neoformans Transcriptome Analysis to Identify Differentially Expressed Genes Using the STAR Pipeline in CyVerse Discovery Environment. In: McClelland, E.E. (eds) Cryptococcus neoformans. Methods in Molecular Biology, vol 2775. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3722-7_8
Swetnam TL, Antin PB, Bartelme R, Bucksch A, Camhy D, Chism G, et al. (2024) CyVerse: Cyberinfrastructure for open science. PLoS Comput Biol 20(2): e1011270. https://doi.org/10.1371/journal.pcbi.1011270
Tuggle CK, Clarke JL, Murdoch BM, Lyons E, Scott NM, Beneš B, Campbell JD, Chung H, Daigle CL, Das Choudhury S, Dekkers JCM, Dórea JRR, Ertl DS, Feldman M, Fragomeni BO, Fulton JE, Guadagno CR, Hagen DE, Hess AS, Kramer LM, Lawrence-Dill CJ, Lipka AE, Lübberstedt T, McCarthy FM, McKay SD, Murray SC, Riggs PK, Rowan TN, Sheehan MJ, Steibel JP, Thompson AM, Thornton KJ, Van Tassell CP, Schnable PS. Current challenges and future of agricultural genomes to phenomes in the USA. Genome Biol. 2024 Jan 3;25(1):8. doi: 10.1186/s13059-023-03155-w. PMID: 38172911; PMCID: PMC10763150. https://doi.org/10.1186/s13059-023-03155-w
Wu, S., Da, L., Xiao, Q. et al. (2024) ASAP: a platform for gene functional analysis in Angelica sinensis. BMC Genomics 25, 96 (2024). https://doi.org/10.1186/s12864-024-09971-z
Yamashita, T., D.D. Rhoads, J. Pummill (2024) A robust genome assembly with transcriptomic data from the striped bark scorpion, Centruroides vittatus, G3 Genes|Genomes|Genetics, Volume 14, Issue 8, August 2024, jkae120, https://doi.org/10.1093/g3journal/jkae120
2023
Adie, Hylton, and Michael J. Lawes. “Solutions to Fire and Shade: Resprouting, Growing Tall and the Origin of Eurasian Temperate Broadleaved Forest.” Biological Reviews 98, no. 2 (April 2023): 643–61. https://doi.org/10.1111/brv.12923.
Alejandro Salado, Hanumanthrao Kannan, William Rouse Zoe Szajnfarber, and Nirav Merchant Young-Jun Son. “A Reference Architecture for a Policy Test Laboratory.” Acquisition Research Program, 2023.
Arancio, Walter, Nicolina Sciaraffa, and Claudia Coronnello. “MBS: A Genome Browser Annotation Track for High-Confident MicroRNA Binding Sites in Whole Human Transcriptome.” Database 2023 (April 22, 2023): baad015. https://doi.org/10.1093/database/baad015.
Balasubramanian, Vimal Kumar, Albert Rivas-Ubach, Tanya Winkler, Hugh Mitchell, James Moran, and Amir H. Ahkami. “Modulation of Polar Auxin Transport Identifies the Molecular Determinants of Source-Sink Carbon Relationships and Sink Strength in Poplar.” Preprint. Plant Biology, March 13, 2023. https://doi.org/10.1101/2023.03.12.532247.
Benson, Christopher W., Matthew R. Sheltra, Jeff P. Maughan, Eric N. Jellen, Matthew D. Robbins, B. Shaun Bushman, Eric L. Patterson, Nathan D. Hall, and David R. Huff. “Homoeologous Evolution of the Allotetraploid Genome of Poa Annua L.” Preprint. In Review, April 3, 2023. https://doi.org/10.21203/rs.3.rs-2729084/v1.
Bi, Li, Li-Li Han, Shuai Du, Dan-Ting Yu, Ji-Zheng He, Li-Mei Zhang, and Hang-Wei Hu. “Cross-Biome Soil Viruses as an Important Reservoir of Virulence Genes.” Journal of Hazardous Materials 442 (January 2023): 130111. https://doi.org/10.1016/j.jhazmat.2022.130111.
Buck, Ryan, Diego Ortega‐Del Vecchyo, Catherine Gehring, Rhett Michelson, Dulce Flores‐Rentería, Barbara Klein, Amy V. Whipple, and Lluvia Flores‐Rentería. “Sequential Hybridization May Have Facilitated Ecological Transitions in the Southwestern Pinyon Pine Syngameon.” New Phytologist 237, no. 6 (March 2023): 2435–49. https://doi.org/10.1111/nph.18543.
Bunting, Matt, Matthew Nice, Dan Work, Jonathan Sprinkle, and Roman Golota. “WiP Abstract: Edge-Based Privacy of Naturalistic Driving Data Collection.” In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), 256–57. San Antonio TX USA: ACM, 2023. https://doi.org/10.1145/3576841.3589623.
Cai, Lirong, Holger Kreft, Amanda Taylor, Pierre Denelle, Julian Schrader, Franz Essl, Mark Van Kleunen, et al. “Global Models and Predictions of Plant Diversity Based on Advanced Machine Learning Techniques.” New Phytologist 237, no. 4 (February 2023): 1432–45. https://doi.org/10.1111/nph.18533.
Cardone, Richard, Smruti Padhy, Steven Black, Sean Cleveland, and Joe Stubbs. “A Decentralized Authorization and Security Framework for Distributed Research Workflows.” arXiv, May 13, 2023. http://arxiv.org/abs/2304.08557.
Chamorro González, Rocío, Thomas Conrad, Maja C. Stöber, Robin Xu, Mădălina Giurgiu, Elias Rodriguez-Fos, Katharina Kasack, et al. “Parallel Sequencing of Extrachromosomal Circular DNAs and Transcriptomes in Single Cancer Cells.” Nature Genetics 55, no. 5 (May 2023): 880–90. https://doi.org/10.1038/s41588-023-01386-y.
Chan, Yen On, Nicholas Dietz, Shuai Zeng, Juexin Wang, Sherry Flint-Garcia, M. Nancy Salazar-Vidal, Mária Škrabišová, Kristin Bilyeu, and Trupti Joshi. “The Allele Catalog Tool: A Web-Based Interactive Tool for Allele Discovery and Analysis.” BMC Genomics 24, no. 1 (March 10, 2023): 107. https://doi.org/10.1186/s12864-023-09161-3.
Chaulagain, Diptee, Elise Schnabel, Ashley Crook, Sagar Bashyal, Lena Maria Müller, and Julia Frugoli. “A Mutation in Mediator Subunit MED16A Suppresses Nodulation and Increases Arbuscule Density in Medicago Truncatula.” Journal of Plant Growth Regulation, May 12, 2023. https://doi.org/10.1007/s00344-023-10993-2.
Chávez Montes, Ricardo A., Mauricio Ulloa, Tammy Biniashvili, Arik Zackay, Nir Kfir, Damar Lopez-Arredondo, and Luis Herrera-Estrella. “Assembly and Annotation of the Gossypium Barbadense L. ‘Pima-S6’ Genome Raise Questions about the Chromosome Structure and Gene Content of Gossypium Barbadense Genomes.” BMC Genomics 24, no. 1 (January 10, 2023): 11. https://doi.org/10.1186/s12864-022-09102-6.
Chivian, Dylan, Sean P. Jungbluth, Paramvir S. Dehal, Elisha M. Wood-Charlson, Richard S. Canon, Benjamin H. Allen, Mikayla M. Clark, et al. “Metagenome-Assembled Genome Extraction and Analysis from Microbiomes Using KBase.” Nature Protocols 18, no. 1 (January 2023): 208–38. https://doi.org/10.1038/s41596-022-00747-x.
Daradur, Jenya, Mohamad Kesserwan, Nowlan H. Freese, Ann E. Loraine, and C. Daniel Riggs. “Genomic Targets of HOP2 Are Enriched for Features Found at Recombination Hotspots.” Preprint. Plant Biology, January 25, 2023. https://doi.org/10.1101/2023.01.25.525520.
Diaz, Rudy, Zheng Wang, and Jeffrey P. Townsend. “Measurement and Meaning in Gene Expression Evolution.” In Transcriptome Profiling, 111–29. Elsevier, 2023. https://doi.org/10.1016/B978-0-323-91810-7.00008-X.
Donovan, Sam, and M. Drew LaMar. “Using Science Education Gateways to Improve Undergraduate STEM Education: The QUBES Platform as a Case Study.” arXiv, January 4, 2023. http://arxiv.org/abs/2301.01760.
Ehsani, Mohammad Reza. “Improving Global Satellite Precipiation Products Utilizing Machine Learning.” PhD Thesis, The University of Arizona, 2023.
Epstein, Ruth, Nikita Sajai, Mateusz Zelkowski, Adele Zhou, Kelly R. Robbins, and Wojciech P. Pawlowski. “Exploring Impact of Recombination Landscapes on Breeding Outcomes.” Proceedings of the National Academy of Sciences 120, no. 14 (April 4, 2023): e2205785119. https://doi.org/10.1073/pnas.2205785119.
George, Nikhil A., and Laura A. Hug. “CRISPR-Resolved Virus-Host Interactions in a Municipal Landfill Include Non-Specific Viruses, Hyper-Targeted Viral Populations, and Interviral Conflicts.” Scientific Reports 13, no. 1 (April 5, 2023): 5611. https://doi.org/10.1038/s41598-023-32078-6.
Hartwig, Thomas, Michael Banf, Gisele Passaia Prietsch, Jia-Ying Zhu, Isabel Mora-Ramírez, Jos H. M. Schippers, Samantha J. Snodgrass, et al. “Hybrid Allele-Specific ChIP-Seq Analysis Identifies Variation in Brassinosteroid-Responsive Transcription Factor Binding Linked to Traits in Maize.” Genome Biology 24, no. 1 (May 8, 2023): 108. https://doi.org/10.1186/s13059-023-02909-w.
Henning, Paige M., Eric H. Roalson, Wali Mir, Andrew G. McCubbin, and Joel S. Shore. “Annotation of the Turnera Subulata (Passifloraceae) Draft Genome Reveals the S-Locus Evolved after the Divergence of Turneroideae from Passifloroideae in a Stepwise Manner.” Plants 12, no. 2 (January 7, 2023): 286. https://doi.org/10.3390/plants12020286.
Henry, Erin, Luca Santini, Mark A. J. Huijbregts, and Ana Benítez‐López. “Unveiling the Environmental Drivers of Intraspecific Body Size Variation in Terrestrial Vertebrates.” Global Ecology and Biogeography 32, no. 2 (February 2023): 267–80. https://doi.org/10.1111/geb.13621.
Hoosain, Nisreen, Jeanne Korsman, Peter O Kimathi, Paidamoyo Kachambwa, Rembu Magoba, and Shane L Murray. “AquaSens: Exploring the Use of 16S RRNA next-Generation Sequencing to Determine Bacterial Composition of Various Water Matrices.” Water SA 49, no. 2 (2023): 117–25.
Humphrey, Jack, Sanan Venkatesh, Rahat Hasan, Jake T. Herb, Katia De Paiva Lopes, Fahri Küçükali, Marta Byrska-Bishop, et al. “Integrative Transcriptomic Analysis of the Amyotrophic Lateral Sclerosis Spinal Cord Implicates Glial Activation and Suggests New Risk Genes.” Nature Neuroscience 26, no. 1 (January 2023): 150–62. https://doi.org/10.1038/s41593-022-01205-3.
Jackson, Robert, Esha V Rajadhyaksha, Reid S Loeffler, Caitlyn E Flores, and Koenraad Van Doorslaer. “Characterization of 3D Organotypic Epithelial Tissues Reveals Tonsil-Specific Differences in Tonic Interferon Signaling.” Preprint. Cell Biology, January 21, 2023. https://doi.org/10.1101/2023.01.19.524743.
Joshi, Anand B., Abdul Gaffar, and Sonali Singh. “Security of Medical Images Based on Special Orthogonal Group and Galois Field.” Multimedia Tools and Applications, April 13, 2023. https://doi.org/10.1007/s11042-023-15033-5.
Kang, Jian, Sidharth Sen, Melvin J. Oliver, and Robert E. Sharp. “Comparative Transcriptomics Reveal Metabolic Rather than Genetic Control of Divergent Antioxidant Metabolism in the Primary Root Elongation Zone of Water-Stressed Cotton and Maize.” Antioxidants 12, no. 2 (January 27, 2023): 287. https://doi.org/10.3390/antiox12020287.
Keuler, Rachel. “Assessing the Role of Hybridization in the Evolution of Two Common Lineages of Lichen-Forming Fungi.” These and Dissertations 9888 (2023). https://scholarsarchive.byu.edu/etd/9888.
Khanam, Ruqaiya, and Gitanjali Mehta. “Application of Deep CNN for Image-Based Identification and Classification of Plant Diseases.” In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), 224–29. Noida, India: IEEE, 2023. https://doi.org/10.1109/SPIN57001.2023.10116967.
Kruasuwan, Worarat, Karan Lohmaneeratana, John T. Munnoch, Wanwipa Vongsangnak, Chatchawan Jantrasuriyarat, Paul A. Hoskisson, and Arinthip Thamchaipenet. “Transcriptome Landscapes of Salt-Susceptible Rice Cultivar IR29 Associated with a Plant Growth Promoting Endophytic Streptomyces.” Rice 16, no. 1 (December 2023): 6. https://doi.org/10.1186/s12284-023-00622-7.
Li, Wenwen, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer, and Rui Zhu. “GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid.” ISPRS International Journal of Geo-Information 12, no. 3 (March 7, 2023): 112. https://doi.org/10.3390/ijgi12030112.
Li, Yangjie, Bin Ma, Kexin Hua, Huimin Gong, Rongrong He, Rui Luo, Dingren Bi, Rui Zhou, Paul R. Langford, and Hui Jin. “PPNet: Identifying Functional Association Networks by Phylogenetic Profiling of Prokaryotic Genomes.” Edited by Sébastien P. Faucher. Microbiology Spectrum 11, no. 1 (February 14, 2023): e03871-22. https://doi.org/10.1128/spectrum.03871-22.
Lima, Dayane Cristina, Alejandro Castro Aviles, Ryan Timothy Alpers, Alden Perkins, Dylan L. Schoemaker, Martin Costa, Shawn Kaeppler, et al. “2020-2021 Field Seasons of Maize G x E Project within Maize Genomes to Fields Initiative.” Preprint. In Review, May 11, 2023. https://doi.org/10.21203/rs.3.rs-2908766/v1.
McGarry, Róisín C, Harmanpreet Kaur, Yen-Tung Lin, Guadalupe Lopez Puc, Leor Eshed Williams, Esther Van Der Knaap, and Brian G Ayre. “Altered Expression of SELF-PRUNING Disrupts Homeostasis and Facilitates Signal Delivery to Meristems.” Plant Physiology, February 28, 2023, kiad126. https://doi.org/10.1093/plphys/kiad126.
Mitra, Saptashwa, Maxwell Roselius, Pedro Andrade‐Sanchez, John K. McKay, and Sangmi Lee Pallickara. “Radix+ : High‐throughput Georeferencing and Data Ingestion over Voluminous and Fast‐evolving Phenotyping Sensor Data.” Concurrency and Computation: Practice and Experience 35, no. 8 (April 10, 2023). https://doi.org/10.1002/cpe.7484.
Nguyen, Minh. “Cost-Effective and Performance-Preserving Secured Application Management in Cloud Environments.” PhD Thesis, City University of New York, 2023.
Prather, Ben S., Jason Dexter, Monika Moscibrodzka, Hung-Yi Pu, Thomas Bronzwaer, Jordy Davelaar, Ziri Younsi, et al. “Comparison of Polarized Radiative Transfer Codes Used by the EHT Collaboration.” arXiv, March 21, 2023. http://arxiv.org/abs/2303.12004.
Priyadarshini, Parichita, Smrutirekha Sahu, Gopal Kalwan, Yashwant K. Yadava, Ramawatar Nagar, Vandna Rai, C. Bharadwaj, Kishor Gaikwad, and Pradeep K. Jain. “Unravelling the Mechanism of Fusarium Wilt Resistance in Chickpea Seedlings Using Biochemical Studies and Expression Analysis of NBS-LRR and WRKY Genes.” Physiological and Molecular Plant Pathology 124 (March 2023): 101958. https://doi.org/10.1016/j.pmpp.2023.101958.
Raevskiy, Mikhail, Vladislav Yanvarev, Sascha Jung, Antonio Del Sol, and Yulia A. Medvedeva. “Epi-Impute: Single-Cell RNA-Seq Imputation via Integration with Single-Cell ATAC-Seq.” International Journal of Molecular Sciences 24, no. 7 (March 25, 2023): 6229. https://doi.org/10.3390/ijms24076229.
———. “Epi-Impute: Single-Cell RNA-Seq Imputation via Integration with Single-Cell ATAC-Seq.” International Journal of Molecular Sciences 24, no. 7 (March 25, 2023): 6229. https://doi.org/10.3390/ijms24076229.
Rawlings, Christopher John, and Robert P. Davey. “From Farm to FAIR: The Trials of Linking and Sharing Wheat Research Data.” In Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development, edited by Hugh F. Williamson and Sabina Leonelli, 107–23. Cham: Springer International Publishing, 2023. https://doi.org/10.1007/978-3-031-13276-6_6.
Samuels, Mark E., Cassandra Lapointe, Sara Halwas, and Anne C. Worley. “Genomic Sequence of Canadian Chenopodium Berlandieri: A North American Wild Relative of Quinoa.” Plants 12, no. 3 (January 19, 2023): 467. https://doi.org/10.3390/plants12030467.
Sarzaeim, Parisa, Francisco Munoz-Arriola, Diego Jarquin, Hasnat Aslam, and Natalia De Leon Gatti. “CLIM4OMICS: A Geospatially Comprehensive Climate and Multi-OMICS Database for Maize Phenotype Predictability in the U.S. and Canada.” Preprint. ESSD – Land/Biogeosciences and biodiversity, February 1, 2023. https://doi.org/10.5194/essd-2023-11.
Stoy, Kayla S, Joselyne Chavez, Valeria De Las Casas, Venkat Talla, Aileen Berasategui, Levi T Morran, and Nicole M Gerardo. “Evaluating Coevolution in a Horizontally Transmitted Mutualism.” Evolution 77, no. 1 (January 23, 2023): 166–85. https://doi.org/10.1093/evolut/qpac009.
Swartz LG, Liu S, Dahlquist D, Kramer ST, Walter ES, McInturf SA, Bucksch A, Mendoza-Cózatl DG. OPEN leaf: an open-source cloud-based phenotyping system for tracking dynamic changes at leaf-specific resolution in Arabidopsis. Plant J. 2023 Dec;116(6):1600-1616. doi: 10.1111/tpj.16449. Epub 2023 Sep 21. PMID: 37733751. https://doi.org/10.1111/tpj.16449
Tabugo, Sharon Rose M., Rose Chinly Mae H. Ortega, Chinee S. Padasas, Carl Nico P. Oñate, Grazzette Anne N. Dablo, Tricksie P. Balatero, Noel John Ian Feben S. Maguate, Joey Genevieve T. Martinez, Nancy Galvez‐Reyes, and Mylene M. Uy. “Conservation Initiatives of Syngnathiformes Species in the Southern Philippines: What Does the Mitochondrial DNA Signature Tell Us?” Aquatic Conservation: Marine and Freshwater Ecosystems 33, no. 3 (March 2023): 231–45. https://doi.org/10.1002/aqc.3924.
Thangavel, Gokilavani, Paulo G. Hofstatter, Raphaël Mercier, and André Marques. “Tracing the Evolution of the Plant Meiotic Molecular Machinery.” Plant Reproduction 36, no. 1 (March 2023): 73–95. https://doi.org/10.1007/s00497-022-00456-1.
Touchette, David, Catherine Maggiori, Ianina Altshuler, Alex Tettenborn, Louis-Jacques Bourdages, Elisse Magnuson, Olivia Blenner-Hassett, Isabelle Raymond-Bouchard, Alex Ellery, and Lyle G. Whyte. “Microbial Characterization of Arctic Glacial Ice Cores with a Semiautomated Life Detection System.” Astrobiology, April 26, 2023, ast.2022.0130. https://doi.org/10.1089/ast.2022.0130.
Tuggle, Christopher K, Jennifer Clarke, Brenda M Murdoch, Eric Lyons, Nicole M Scott, Bedrich Benes, Jacqueline Campbell, et al. “Current Challenges and Future of Agricultural Genomes to Phenomes in the US,” 2023.
Uchenna, Anukwu John, Nwamba Helen Ogochukwu, and Chiaha Ijeoma Emiliana. “DNA Barcoding of Selected Freshwater Fishes in New Calabar River, Rivers State, Nigeria.” Asian Journal of Biotechnology and Bioresource Technology, April 20, 2023, 28–38. https://doi.org/10.9734/ajb2t/2023/v9i1176.
Varma, Watan Kishor, and Vipin Kumar. “Analysis of Crop Leaf Image Classification Using Deep Learning Models over Novel Dataset.” In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), 14–19. Noida, India: IEEE, 2023. https://doi.org/10.1109/SPIN57001.2023.10116960.
Warren, Derek, Vagner A. Benedito, R Chris Skinner, Ayad Alawadi, Eloisa Vendemiatti, David J. Laub, Casey Showman, Kristen Matak, and Janet C. Tou. “Low-Protein Diets Composed of Protein Recovered from Food Processing Supported Growth, but Induced Mild Hepatic Steatosis Compared with a No-Protein Diet in Young Female Rats.” The Journal of Nutrition, March 2023, S0022316623355019. https://doi.org/10.1016/j.tjnut.2023.03.028.
Zhang, Mujie, Yali Hao, Yi Yi, Shunzhang Liu, Qingyang Sun, Xiaoli Tan, Shan Tang, Xiang Xiao, and Huahua Jian. “Unexplored Diversity and Ecological Functions of Transposable Phages.” The ISME Journal, April 17, 2023. https://doi.org/10.1038/s41396-023-01414-z.
Zhang, Xue, Zhuo Jiang, Xilin Jiao, Yang Yu, Zhenan Wang, Yangyang Hou, Guohua Duan, et al. “Genome Assembly and Comparative Analysis of the Egg Parasitoid Wasp Trichogramma Dendrolimi Shed Light on the Composition and Evolution of Olfactory Receptors and Venoms.” Insects 14, no. 2 (January 31, 2023): 144. https://doi.org/10.3390/insects14020144.
Zhao, Zihao, Chie Amano, Thomas Reinthaler, Federico Baltar, Monica Orellana, and Gerhard Herndl. “Metaproteomic Analysis Decodes the Trophic Basis of Microbes in the Dark Ocean.” Preprint. In Review, April 7, 2023. https://doi.org/10.21203/rs.3.rs-2727130/v1.
Zheng, Kaiyang, Yue Dong, Yantao Liang, Yundan Liu, Xinran Zhang, Wenjing Zhang, Ziyue Wang, et al. “Genomic Diversity and Ecological Distribution of Marine Pseudoalteromonas Phages.” Marine Life Science & Technology, January 20, 2023. https://doi.org/10.1007/s42995-022-00160-z.
Zhou, Andy, Liam D. Kirkpatrick, Izaiah J. Ornelas, Lorenzo J. Washington, Niklas F. C. Hummel, Christopher W. Gee, Sophia N. Tang, Collin R. Barnum, Henrik V. Scheller, and Patrick M. Shih. “A Suite of Constitutive Promoters for Tuning Gene Expression in Plants.” ACS Synthetic Biology, April 21, 2023, acssynbio.3c00075. https://doi.org/10.1021/acssynbio.3c00075.
Zhou, Yifan, Liang Zhou, Shuling Yan, Lanming Chen, Mart Krupovic, and Yongjie Wang. “Diverse Viruses of Marine Archaea Discovered Using Metagenomics.” Environmental Microbiology 25, no. 2 (February 2023): 367–82. https://doi.org/10.1111/1462-2920.16287.
Zimmerman, Amy E., Justin C. Podowski, Gwendolyn E. Gallagher, Maureen L. Coleman, and Jacob R. Waldbauer. “Tracking Nitrogen Allocation to Proteome Biosynthesis in a Marine Microbial Community.” Nature Microbiology 8, no. 3 (January 12, 2023): 498–509. https://doi.org/10.1038/s41564-022-01303-9.
Zuo, Huanyan, Yao Xiao, Jiahao Han, Yuxiu Lin, Cheng Tian, Shu Zhang, Guohua Yuan, Huan Liu, and Zhi Chen. “Phosphorylation of ATF2 Promotes Odontoblastic Differentiation via Intrinsic HAT Activity.” Journal of Genetics and Genomics, February 2023, S1673852723000449. https://doi.org/10.1016/j.jgg.2023.02.005.
2022
Adams, S., Carré, I.. A. (2022). Chromatin Immunoprecipitation Protocol for Circadian Clock Proteins. Plant Circadian Networks, 2398, 135-150.
Amos, B., Aurrecoechea, C., Barba, M., Barreto, A., Basenko, E., Bażant, W., Belnap, R., Blevins, A.. S., Böhme, U., Brestelli, J., Brunk, B.. P., Caddick, M., Callan, D., Campbell, L., Christensen, M., Christophides, G., Crouch, K., Davis, K., DeBarry, J., Doherty, R., Duan, Y., Dunn, M., Falke, D., Fisher, S., Flicek, P., Fox, B., Gajria, B., Giraldo-Calderón, G.. I., Harb, O.. S., Harper, E., Hertz-Fowler, C., Hickman, M., Howington, C., Hu, S., Humphrey, J., Iodice, J., Jones, A., Judkins, J., Kelly, S.. A., Kissinger, J.. C., Kwon, D.. K., Lamoureux, K., Lawson, D., Li, W., Lies, K., Lodha, D., Long, J., MacCallum, R.. M., Maslen, G., McDowell, M.. A., Nabrzyski, J., Roos, D.. S., Rund, S.. S.. C., Schulman, S., Shanmugasundram, A., Sitnik, V., Spruill, D., Starns, D., Stoeckert, C., Tomko, S.. S., Wang, H., Warrenfeltz, S., Wieck, R., Wilkinson, P.. A., Xu, L., Zheng, J. (2022). VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center. Nucleic Acids Research, 50(D1), D898-D911. https://doi.org/10.1093/nar/gkab929
Amundson, K.. K., Borton, M.. A., Daly, R.. A., Hoyt, D.. W., Wong, A., Eder, E., Moore, J., Wunch, K., Wrighton, K.. C., Wilkins, M.. J. (2022). Microbial colonization and persistence in deep fractured shales is guided by metabolic exchanges and viral predation. Microbiome, 10(1), 5. https://doi.org/10.1186/s40168-021-01194-8
Arras, P., Frank, P., Haim, P., Knollmüller, J., Leike, R., Reinecke, M., Enßlin, T. (2022). Variable structures in M87* from space, time and frequency resolved interferometry. Nature Astronomy, 6(2), 259-269. https://doi.org/10.1038/s41550-021-01548-0
Boeckman, J., Korn, A., Yao, G., Ravindran, A., Gonzalez, C., Gill, J. (2022). Sheep in wolves’ clothing: Temperate T7-like bacteriophages and the origins of the Autographiviridae. Virology, 568, 86-100. https://doi.org/10.1016/j.virol.2022.01.013
Chiozzi, G., De Marchi, G., Fasola, M., Ibrahim, K.. M., Bardelli, G., Hagos, F., Rocca, F., Masseti, M. (2022). Insular gazelles of the circum-Arabian seas: origin, distribution, dwarfism and taxonomy. Mammalian Biology, 102(1), 1-20. https://doi.org/10.1007/s42991-021-00186-3
Chávez Montes, R.. A., Haber, A., Pardo, J., Powell, R.. F., Divisetty, U.. K., Silva, A.. T., Hernández-Hernández, T., Silveira, V., Tang, H., Lyons, E., Herrera Estrella, L.. R., VanBuren, R., Oliver, M.. J. (2022). A comparative genomics examination of desiccation tolerance and sensitivity in two sister grass species. Proceedings of the National Academy of Sciences, 119(5), e2118886119. https://doi.org/10.1073/pnas.2118886119
Dykes, J., Kappenman, K., Nissen, E.. D. (2022). Using DNA Barcoding Methods to Identify Wild Huckleberry, Vaccinium membranaceum , as a Classroom Project. The American Biology Teacher, 84(1), 40-44. https://doi.org/10.1525/abt.2022.84.1.40
Fernandez-Pozo, N., Haas, F.. B., Gould, S.. B., Rensing, S.. A. (2022). An overview of bioinformatics, genomics and transcriptomics resources for bryophytes. Journal of Experimental Botany, erac052. https://doi.org/10.1093/jxb/erac052
Fitzgerald, C., Vens, C.. S., Miller, N., Barker, R., Westphall, M., Lombardino, J., Miao, J., Swanson, S.. J., Gilroy, S. (2022). Using the Automated Botanical Contact Device (ABCD) to Deliver Reproducible, Intermittent Touch Stimulation to Plants. Plant Gravitropism, 2368, 81-94.
Gupta, S., Rather, S.. A. (2022). Innovations in Crop Production: An Amalgamation of Abiotic Stress Physiology and Technology. Plant Abiotic Stress Physiology: Volume 1: Responses and Adaptations, 1.
Heilman, K.. A., Dietze, M.. C., Arizpe, A.. A., Aragon, J., Gray, A., Shaw, J.. D., Finley, A.. O., Klesse, S., DeRose, R.. J., Evans, M.. E.. K. (2022). Ecological forecasting of tree growth: Regional fusion of tree‐ring and forest inventory data to quantify drivers and characterize uncertainty. Global Change Biology, gcb.16038. https://doi.org/10.1111/gcb.16038
Jhu, M., Farhi, M., Wang, L., Philbrook, R.. N., Belcher, M.. S., Nakayama, H., Zumstein, K.. S., Rowland, S.. D., Ron, M., Shih, P.. M., Sinha, N.. R. (2022). Heinz-resistant tomato cultivars exhibit a lignin-based resistance to field dodder ( Cuscuta campestris ) parasitism. Plant Physiology, kiac024. https://doi.org/10.1093/plphys/kiac024
Martinson, J.. W., Bencic, D.. C., Toth, G.. P., Kostich, M.. S., Flick, R.. W., See, M.. J., Lattier, D., Biales, A.. D., Huang, W. (2022). De Novo Assembly of the Nearly Complete Fathead Minnow Reference Genome Reveals a Repetitive but Compact Genome. Environmental Toxicology and Chemistry, 41(2), 448-461. https://doi.org/10.1002/etc.5266
Martínez-Alvarez, L., Ramond, J., Vikram, S., León-Sobrino, C., Maggs-Kölling, G., Cowan, D. (2022). With a pinch of salt: metagenomic insights into Namib Desert salt pan microbial mats and halites reveal functionally adapted and competitive communities. .
Morisse, M., Wells, D.. M., Millet, E.. J., Lillemo, M., Fahrner, S., Cellini, F., Lootens, P., Muller, O., Herrera, J.. M., Bentley, A.. R., Janni, M. (2022). A European perspective on opportunities and demands for field-based crop phenotyping. Field Crops Research, 276, 108371. https://doi.org/10.1016/j.fcr.2021.108371
Nguyen, D.. T., Hayes, J.. E., Atieno, J., Li, Y., Baumann, U., Pattison, A., Bramley, H., Hobson, K., Roorkiwal, M., Varshney, R.. K., Colmer, T.. D., Sutton, T. (2022). The genetics of vigour-related traits in chickpea (Cicer arietinum L.): insights from genomic data. Theoretical and Applied Genetics, 135(1), 107-124. https://doi.org/10.1007/s00122-021-03954-4
Palos, K. (2022). Identifying Long Noncoding RNAs and Examining Their Functional Roles in Brassicaceae. .
Rhoades, N.. S., Davies, M., Lewis, S.. A., Cinco, I.. R., Kohama, S.. G., Bermudez, L.. E., Winthrop, K.. L., Fuss, C., Mattison, J.. A., Spindel, E.. R., Messaoudi, I. (2022). Functional, transcriptional, and microbial shifts associated with healthy pulmonary aging: insights from rhesus macaques. .
Sams, E.. I., Ng, J.. K., Tate, V., Claire Hou, Y., Cao, Y., Antonacci-Fulton, L., Belhassan, K., Neidich, J., Mitra, R.. D., Cole, F.. S., Dickson, P., Milbrandt, J., Turner, T.. N. (2022). From karyotypes to precision genomics in 9p deletion and duplication syndromes. Human Genetics and Genomics Advances, 3(1), 100081. https://doi.org/10.1016/j.xhgg.2021.100081
Satapathy, K., Psaltis, D., Özel, F., Medeiros, L., Dougall, S.. T., Chan, C., Wielgus, M., Prather, B.. S., Wong, G.. N., Gammie, C.. F., others (2022). The Variability of the Black Hole Image in M87 at the Dynamical Timescale. The Astrophysical Journal, 925(1), 13.
Senn, S., Pangell, K., Bowerman, A.. L. (2022). Metagenomic Insights into the Composition and Function of Microbes Associated with the Rootzone of Datura inoxia. BioTech, 11(1), 1. https://doi.org/10.3390/biotech11010001
Shang, J., Sun, Y. (2022). CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model. arXiv:2201.01018 [cs, q-bio].
Spalding, E., Morzinski, K.. M., Hinz, P., Males, J., Meyer, M., Quanz, S.. P., Leisenring, J., Power, J. (2022). High-contrast Imaging with Fizeau Interferometry: the Case of Altair*. The Astronomical Journal, 163(2), 62. https://doi.org/10.3847/1538-3881/ac3b5b
Tran, H., Zhang, J., O’Neill, M.. M., Ryken, A., Condon, L.. E., Maxwell, R.. M. (2022). A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019. Scientific Data, 9(1), 16. https://doi.org/10.1038/s41597-022-01123-w
Tuggle, C.. K., Clarke, J., Dekkers, J.. C.. M., Ertl, D., Lawrence-Dill, C.. J., Lyons, E., Murdoch, B.. M., Scott, N.. M., Schnable, P.. S. (2022). The Agricultural Genome to Phenome Initiative (AG2PI): creating a shared vision across crop and livestock research communities. Genome Biology, 23(1), 3, s13059-021-02570-1. https://doi.org/10.1186/s13059-021-02570-1
Wang, L., Lu, Z., Van Buren, P., Ware, D. (2022). SciApps: An Automated Platform for Processing and Distribution of Plant Genomics Data. Plant Bioinformatics, 2443, 197-209.
Williams, J. (2022). CyVerse for Reproducible Research: RNA-Seq Analysis. Plant Bioinformatics, 2443, 57-79.
Wyman, C.. L., Gontijo Silva Maia, L., Yang, L., Benedito, V.. A. (2022). The Model Legume, Medicago truncatula in the Genomic Era: Speeding Up Discoveries in Legume Biology. The Medicago truncatula Genome, 1-9.
Xu, G., Lyu, J., Obata, T., Liu, S., Ge, Y., Schnable, J.. C., Yang, J. (2022). A historically balanced locus under recent directional selection in responding to changed nitrogen conditions during modern maize breeding. .
Zhang, X., Zhu, Y., Kremling, K.. A.. G., Romay, M.. C., Bukowski, R., Sun, Q., Gao, S., Buckler, E.. S., Lu, F. (2022). Genome-wide analysis of deletions in maize population reveals abundant genetic diversity and functional impact. Theoretical and Applied Genetics, 135(1), 273-290. https://doi.org/10.1007/s00122-021-03965-1
Zhao, Y., Zhang, S., Lv, Y., Ning, F., Cao, Y., Liao, S., Wang, P., Huang, S. (2022). Optimizing ear-plant height ratio to improve kernel number and lodging resistance in maize (Zea mays L.). Field Crops Research, 276, 108376. https://doi.org/10.1016/j.fcr.2021.108376
2021
Adak, A., Murray, S.. C., Anderson, S.. L., Popescu, S.. C., Malambo, L., Romay, M.. C., Leon, N. (2021). Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize. The Plant Genome, 14(2). https://doi.org/10.1002/tpg2.20102
Alamo, M.. A. (2021). Impact of climate change on local tree species richness in Mexico. .
Alex Mason, G., Cantó-Pastor, A., Brady, S.. M., Provart, N.. J. (2021). Bioinformatic Tools in Arabidopsis Research. Arabidopsis Protocols, 2200, 25-89.
Amfar, F., Fitri, L., Suhartono, S. (2021). Molecular identification of a new isolate of actinobacteria ATIS61 and characterization of the protease activities. Biodiversitas Journal of Biological Diversity, 22(3).
Anderson, N., Wilch, M. (2021). Online Instruction – Bioinformatics Lesson for a COVID-19 Vaccine. The American Biology Teacher, 83(7), 464-471. https://doi.org/10.1525/abt.2021.83.7.464
Anwar, Z. (2021). Investigating the Role of Onecut1 in Establishment of Cell-type-Specific Enhancers during Mouse Motor Neuron Differentiation. .
Balatskyi, V.. V., Vaskivskyi, V.. O., Myronova, A., Avramets, D., Nahia, K.. A., Macewicz, L.. L., Ruban, T.. P., Kucherenko, D.. Y., Soldatkin, O.. O., Lushnikova, I.. V., Skibo, G.. G., Winata, C.. L., Dobrzyn, P., Piven, O.. O. (2021). Cardiac-specific β-catenin deletion dysregulates energetic metabolism and mitochondrial function in perinatal cardiomyocytes. Mitochondrion, 60, 59-69. https://doi.org/10.1016/j.mito.2021.07.005
Barakhshan, P., Eigenmann, R. (2021). Exchanging Best Practices and Tools for Supporting Computational and Data-Intensive Research, The Xpert Network. arXiv:2102.09373 [cs].
Barbosa, R.. d.. S., Pereira, G.. F.. M., Ribeiro, S.. S., Hage, A.. L.. F., Costa, G.. F., Salomão, R.. P., Schwartz, G. (2021). Key species selection for forest restoration after bauxite mining in the Eastern Amazon. Ecological Engineering, 162, 106190. https://doi.org/10.1016/j.ecoleng.2021.106190
Barker, R., Lombardino, J., Rasmussen, K., Gilroy, S. (2021). Transcriptome: A Discovery Environment to Explore Multiple Plant Biology Spaceflight Experiments. Higher Plants, Algae and Cyanobacteria in Space Environments.
Baseggio, M., Murray, M., Wu, D., Ziegler, G., Kaczmar, N., Chamness, J., Hamilton, J.. P., Buell, C.. R., Vatamaniuk, O.. K., Buckler, E.. S., Smith, M.. E., Baxter, I., Tracy, W.. F., Gore, M.. A. (2021). Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels. .
Baseggio, M., Murray, M., Wu, D., Ziegler, G., Kaczmar, N., Chamness, J., Hamilton, J.. P., Buell, C.. R., Vatamaniuk, O.. K., Buckler, E.. S., Smith, M.. E., Baxter, I., Tracy, W.. F., Gore, M.. A. (2021). Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels. G3 Genes|Genomes|Genetics, 11(8), jkab186. https://doi.org/10.1093/g3journal/jkab186
Bearss, J.. J., Padi, S.. K., Singh, N., Cardo‐Vila, M., Song, J.. H., Mouneimne, G., Fernandes, N., Li, Y., Harter, M.. R., Gard, J.. M., Cress, A.. E., Peti, W., Nelson, A.. D., Buchan, J.. R., Kraft, A.. S., Okumura, K. (2021). EDC3 phosphorylation regulates growth and invasion through controlling P‐body formation and dynamics. EMBO reports, 22(4). https://doi.org/10.15252/embr.202050835
Beck, M.. A., Liu, C., Bidinosti, C.. P., Henry, C.. J., Godee, C.. M., Ajmani, M. (2021). Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture. arXiv:2108.05789 [cs].
Beck, M.. A., Liu, C., Bidinosti, C.. P., Henry, C.. J., Godee, C.. M., Ajmani, M. (2021). An extensive lab-and field-image dataset of crops and weeds for computer vision tasks in agriculture. .
Bedre, R., Avila, C., Mandadi, K. (2021). HTSQualC is a flexible and one-step quality control software for high-throughput sequencing data analysis. Scientific Reports, 11(1), 18725. https://doi.org/10.1038/s41598-021-98124-3
Bellas, C.. M., Sommaruga, R. (2021). Polinton-like viruses are abundant in aquatic ecosystems. Microbiome, 9(1), 13. https://doi.org/10.1186/s40168-020-00956-0
Bello, A., Mukhtar, F.. B., Muellner-Riehl, A.. N. (2021). Diversity and Distribution of Nigerian Legumes (Fabaceae). Phytotaxa, 480(2), 103–124.
Bendaoud, F., Kim, G., Larose, H., Westwood, J., Zermane, N., Haak, D. (2021). GBS analysis of Orobanche crenata populations in Algeria supports local adaptation and host-specialization. .
Blais, B.. R., Smith, B.. E., Placyk, J.. S., Casper, G.. S., Spellman, G.. M. (2021). Phylogeography of the smooth greensnake, Opheodrys vernalis (Squamata: Colubridae): divergent lineages and variable demographics in a widely distributed yet enigmatic species. Biological Journal of the Linnean Society, blab124. https://doi.org/10.1093/biolinnean/blab124
Boopathi, N.. M., Raveendran, M. (2021). Molecular Markers and DNA Barcoding in Moringa. The Moringa Genome, 85-100.
Brandies, P.. A., Hogg, C.. J. (2021). Ten simple rules for getting started with command-line bioinformatics. PLOS Computational Biology, 17(2), e1008645. https://doi.org/10.1371/journal.pcbi.1008645
Brzozowski, L.. J., Hu, H., Campbell, M.. T., Broeckling, C.. D., Caffe, M., Gutiérrez, L., Smith, K.. P., Sorrells, M.. E., Gore, M.. A., Jannink, J. (2021). Selection for seed size has uneven effects on specialized metabolite abundance in oat ( Avena sativa L.). G3 Genes|Genomes|Genetics, jkab419. https://doi.org/10.1093/g3journal/jkab419
Butina, T.. V., Bukin, Y.. S., Petrushin, I.. S., Tupikin, A.. E., Kabilov, M.. R., Belikov, S.. I. (2021). Extended Evaluation of Viral Diversity in Lake Baikal through Metagenomics. Microorganisms, 9(4), 760. https://doi.org/10.3390/microorganisms9040760
Campbell, M.. T., Hu, H., Yeats, T.. H., Caffe-Treml, M., Gutiérrez, L., Smith, K.. P., Sorrells, M.. E., Gore, M.. A., Jannink, J. (2021). Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat ( Avena sativa L.). Genetics, 217(3), iyaa043. https://doi.org/10.1093/genetics/iyaa043
Chen, Y., Wang, Y., Paez-Espino, D., Polz, M.. F., Zhang, T. (2021). Prokaryotic viruses impact functional microorganisms in nutrient removal and carbon cycle in wastewater treatment plants. Nature Communications, 12(1), 5398. https://doi.org/10.1038/s41467-021-25678-1
Cheng, Z., Rowland, S., Czarnecki, K., Zumstein, K., Nakayama, H., Sinha, N.. R. (2021). Analysis of Classic Tomato Mutants Reveals Influence of Leaf Vein Density on Fruit BRIX. .
Cherednichenko, O., Gavrilova, T. (2021). Vascular plant occurrences in grasslands of Central Forest Nature Reserve (Russia): a dataset. Biodiversity Data Journal, 9, e76806. https://doi.org/10.3897/BDJ.9.e76806
Cho, K.. T. (2021). Discovering relationships between genotype and phenotype: Machine learning approaches. .
Conti, M., Nimis, P.. L., Martellos, S. (2021). Match Algorithms for Scientific Names in FlorItaly, the Portal to the Flora of Italy. Plants, 10(5), 974. https://doi.org/10.3390/plants10050974
Cornell, C.. R., Zhang, Y., Van Nostrand, J.. D., Wagle, P., Xiao, X., Zhou, J. (2021). Temporal Changes of Virus-Like Particle Abundance and Metagenomic Comparison of Viral Communities in Cropland and Prairie Soils. mSphere, 6(3). https://doi.org/10.1128/mSphere.01160-20
Cosi, M., Forstedt, J., Gonzalez, E., Xu, Z., Peri, S., Tuteja, R., Blumberg, K., Campbell, T., Merchant, N., Lyons, E. (2021). StarBLAST: a scalable BLAST+ solution for the classroom. Journal of Open Source Education, 4(38), 102. https://doi.org/10.21105/jose.00102
Crispatzu, G., Rehimi, R., Pachano, T., Bleckwehl, T., de la Cruz Molina, S., Xiao, C., Mahabir-Brenner, E., Bazzi, H., Rada-Iglesias, A. (2021). The chromatin, topological and regulatory properties of pluripotency-associated poised enhancers are conserved in vivo. .
Davami, F., Adabi, S., Rezaee, A., Rahmani, A.. M. (2021). Fog-based architecture for scheduling multiple workflows with high availability requirement. Computing. https://doi.org/10.1007/s00607-021-00905-1
Deligiannakis, A., Giatrakos, N., Kotidis, Y., Samoladas, V., Simitsis, A. (2021). Extreme-Scale Interactive Cross-Platform Streaming Analytics–The INFORE Approach. Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores, SEA Data 2021, Copenhagen, DenMark, August 20, 7–13.
Deshmukh, R., Rana, N., Liu, Y., Zeng, S., Agarwal, G., Sonah, H., Varshney, R., Joshi, T., Patil, G.. B., Nguyen, H.. T. (2021). Soybean transporter database: A comprehensive database for identification and exploration of natural variants in soybean transporter genes. Physiologia Plantarum, 171(4), 756-770. https://doi.org/10.1111/ppl.13287
Du, J., Zayed, A.. A., Kigerl, K.. A., Zane, K., Sullivan, M.. B., Popovich, P.. G. (2021). Spinal Cord Injury Changes the Structure and Functional Potential of Gut Bacterial and Viral Communities. mSystems, 6(3). https://doi.org/10.1128/mSystems.01356-20
Ehsani, M.. R., Zarei, A., Gupta, H.. V., Barnard, K., Behrangi, A. (2021). Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. arXiv:2108.06868 [cs].
Eshraghi, M., Karunadharma, P.. P., Blin, J., Shahani, N., Ricci, E.. P., Michel, A., Urban, N.. T., Galli, N., Sharma, M., Ramírez-Jarquín, U.. N., Florescu, K., Hernandez, J., Subramaniam, S. (2021). Mutant Huntingtin stalls ribosomes and represses protein synthesis in a cellular model of Huntington disease. Nature Communications, 12(1), 1461. https://doi.org/10.1038/s41467-021-21637-y
Ferdausi, A., Chang, X., Jones, M. (2021). Transcriptomic analysis for differential expression of genes involved in secondary metabolite production in Narcissus pseudonarcissus field derived bulb and in vitro callus. Industrial Crops and Products, 168, 113615. https://doi.org/https://doi.org/10.1016/j.indcrop.2021.113615
Fesenko, I., Shabalina, S.. A., Mamaeva, A., Knyazev, A., Glushkevich, A., Lyapina, I., Ziganshin, R., Kovalchuk, S., Kharlampieva, D., Lazarev, V., Taliansky, M., Koonin, E. (2021). A vast pool of lineage-specific microproteins encoded by long non-coding RNAs in plants. Nucleic Acids Research, 49(18), 10328-10346. https://doi.org/10.1093/nar/gkab816
Firrao, G., Scortichini, M., Pagliari, L. (2021). Orthology-Based Estimate of the Contribution of Horizontal Gene Transfer from Distantly Related Bacteria to the Intraspecific Diversity and Differentiation of Xylella fastidiosa. Pathogens, 10(1), 46. https://doi.org/10.3390/pathogens10010046
Freewoman, J.. M., Snape, R., Cui, F. (2021). Temporal gene regulation by p53 is associated with the rotational setting of its binding sites in nucleosomes. Cell Cycle, 20(8), 792-807. https://doi.org/10.1080/15384101.2021.1904554
Fuchsman, C.. A., Carlson, M.. C.. G., Garcia Prieto, D., Hays, M.. D., Rocap, G. (2021). Cyanophage host‐derived genes reflect contrasting selective pressures with depth in the oxic and anoxic water column of the Eastern Tropical North Pacific. Environmental Microbiology, 23(6), 2782-2800. https://doi.org/10.1111/1462-2920.15219
Gazitúa, M.. C., Vik, D.. R., Roux, S., Gregory, A.. C., Bolduc, B., Widner, B., Mulholland, M.. R., Hallam, S.. J., Ulloa, O., Sullivan, M.. B. (2021). Potential virus-mediated nitrogen cycling in oxygen-depleted oceanic waters. The ISME Journal, 15(4), 981-998. https://doi.org/10.1038/s41396-020-00825-6
George, S., Agathanggelou, A., Privett, G., Halpin, P., Feline, W., Ash, A., Chote, P., Scott, L., Skuljan, J., Alvino, J., others (2021). Phantom Echoes 2: A Five-Eyes SDA Experiment on GEO Proximity Operations. Proc 22nd AMOS Conf.
Geyer, P., Singh, M.. M., Chen, X. (2021). Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning. arXiv preprint arXiv:2108.13836.
Gillan, J.. K., Ponce-Campos, G.. E., Swetnam, T.. L., Gorlier, A., Heilman, P., McClaran, M.. P. (2021). Innovations to expand drone data collection and analysis for rangeland monitoring. .
Gu, C., Liang, Y., Li, J., Shao, H., Jiang, Y., Zhou, X., Gao, C., Li, X., Zhang, W., Guo, C., He, H., Wang, H., Sung, Y.. Y., Mok, W.. J., Wong, L.. L., Suttle, C.. A., McMinn, A., Tian, J., Wang, M. (2021). Saline lakes on the Qinghai-Tibet Plateau harbor unique viral assemblages mediating microbial environmental adaption. iScience, 24(12), 103439. https://doi.org/10.1016/j.isci.2021.103439
Gudukbay, G., Gunasekaran, J.. R., Feng, Y., Kandemir, M.. T., Nekrutenko, A., Das, C.. R., Medvedev, P., Gruning, B., Coraor, N., Roach, N., Afgan, E. (2021). GYAN: Accelerating Bioinformatics Tools in Galaxy with GPU-Aware Computation Mapping. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 194-203. https://doi.org/10.1109/IPDPSW52791.2021.00037
Guo, J., Bolduc, B., Zayed, A.. A., Varsani, A., Dominguez-Huerta, G., Delmont, T.. O., Pratama, A.. A., Gazitúa, M.. C., Vik, D., Sullivan, M.. B., Roux, S. (2021). VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses. Microbiome, 9(1), 37. https://doi.org/10.1186/s40168-020-00990-y
Gustafsson, L., Granath, G., Nohrstedt, H., Leverkus, A.. B., Johansson, V. (2021). Burn severity and soil chemistry are weak drivers of early vegetation succession following a boreal mega‐fire in a production forest landscape. Journal of Vegetation Science, 32(1). https://doi.org/10.1111/jvs.12966
Gustafsson, L., Johansson, V., Leverkus, A.. B., Strengbom, J., Wikberg, S., Granath, G. (2021). Disturbance interval modulates the starting point for vegetation succession. .
Hamad, Z.. J., Zeebaree, S.. R., others (2021). Recourses utilization in a distributed system: A review. International Journal of Science and Business, 5(2), 42–53.
Hancock, D.. Y., Fischer, J., Lowe, J.. M., Snapp-Childs, W., Pierce, M., Marru, S., Coulter, J.. E., Vaughn, M., Beck, B., Merchant, N., Skidmore, E., Jacobs, G. (2021). Jetstream2: Accelerating cloud computing via Jetstream. Practice and Experience in Advanced Research Computing, 1-8. https://doi.org/10.1145/3437359.3465565
Happel, A., Balle, C., Maust, B.. S., Konstantinus, I.. N., Gill, K., Bekker, L., Froissart, R., Passmore, J., Karaoz, U., Varsani, A., Jaspan, H. (2021). Presence and Persistence of Putative Lytic and Temperate Bacteriophages in Vaginal Metagenomes from South African Adolescents. Viruses, 13(12), 2341. https://doi.org/10.3390/v13122341
Harrison, K., Mendoza-Herrera, A., Levy, J.. G., Tamborindeguy, C. (2021). Lasting consequences of psyllid (Bactericera cockerelli L.) infestation on tomato defense, gene expression, and growth. BMC Plant Biology, 21(1), 114. https://doi.org/10.1186/s12870-021-02876-z
Hearnshaw, J., Brandizi, M., Singh, A., Rawlings, C., Hassani-Pak, K. (2021). Organizing knowledge to enable faster data interpretation in COVID-19 research. F1000Research, 10, 703. https://doi.org/10.12688/f1000research.54071.1
Henningsen, E.. C., Omidvar, V., Coletta, R.. D., Michno, J., Gilbert, E., Li, F., Miller, M.. E., Myers, C.. L., Gordon, S.. P., Vogel, J.. P., Steffenson, B.. J., Kianian, S.. F., Hirsch, C.. D., Figueroa, M. (2021). Identification of candidate susceptibility genes to Puccinia graminis f. sp. tritici in wheat. .
Holmfeldt, K., Nilsson, E., Simone, D., Lopez-Fernandez, M., Wu, X., de Bruijn, I., Lundin, D., Andersson, A.. F., Bertilsson, S., Dopson, M. (2021). The Fennoscandian Shield deep terrestrial virosphere suggests slow motion ‘boom and burst’ cycles. Communications Biology, 4(1), 307. https://doi.org/10.1038/s42003-021-01810-1
Hu, Y., Colantonio, V., Müller, B.. S.. F., Leach, K.. A., Nanni, A., Finegan, C., Wang, B., Baseggio, M., Newton, C.. J., Juhl, E.. M., Hislop, L., Gonzalez, J.. M., Rios, E.. F., Hannah, L.. C., Swarts, K., Gore, M.. A., Hennen-Bierwagen, T.. A., Myers, A.. M., Settles, A.. M., Tracy, W.. F., Resende, M.. F.. R. (2021). Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn. Nature Communications, 12(1), 1227. https://doi.org/10.1038/s41467-021-21380-4
Hua, X., Berkowitz, N.. D., Willmann, M.. R., Yu, X., Lyons, E., Gregory, B.. D. (2021). Global Analysis of RNA-Dependent RNA Polymerase-Dependent Small RNAs Reveals New Substrates and Functions for These Proteins and SGS3 in Arabidopsis. Non-Coding RNA, 7(2), 28. https://doi.org/10.3390/ncrna7020028
Janssen, M., Falcke, H., Kadler, M., Ros, E., Wielgus, M., Akiyama, K., Baloković, M., Blackburn, L., Bouman, K.. L., Chael, A., Chan, C., Chatterjee, K., Davelaar, J., Edwards, P.. G., Fromm, C.. M., Gómez, J.. L., Goddi, C., Issaoun, S., Johnson, M.. D., Kim, J., Koay, J.. Y., Krichbaum, T.. P., Liu, J., Liuzzo, E., Markoff, S., Markowitz, A., Marrone, D.. P., Mizuno, Y., Müller, C., Ni, C., Pesce, D.. W., Ramakrishnan, V., Roelofs, F., Rygl, K.. L.. J., van Bemmel, I., The Event Horizon Telescope Collaboration, Alberdi, A., Alef, W., Algaba, J.. C., Anantua, R., Asada, K., Azulay, R., Baczko, A., Ball, D., Barrett, J., Benson, B.. A., Bintley, D., Blundell, R., Boland, W., Bower, G.. C., Boyce, H., Bremer, M., Brinkerink, C.. D., Brissenden, R., Britzen, S., Broderick, A.. E., Broguiere, D., Bronzwaer, T., Byun, D., Carlstrom, J.. E., Chatterjee, S., Chen, M., Chen, Y., Chesler, P.. M., Cho, I., Christian, P., Conway, J.. E., Cordes, J.. M., Crawford, T.. M., Crew, G.. B., Cruz-Osorio, A., Cui, Y., De Laurentis, M., Deane, R., Dempsey, J., Desvignes, G., Dexter, J., Doeleman, S.. S., Eatough, R.. P., Farah, J., Fish, V.. L., Fomalont, E., Ford, H.. A., Fraga-Encinas, R., Friberg, P., Fuentes, A., Galison, P., Gammie, C.. F., García, R., Gelles, Z., Gentaz, O., Georgiev, B., Gold, R., Gómez-Ruiz, A.. I., Gu, M., Gurwell, M., Hada, K., Haggard, D., Hecht, M.. H., Hesper, R., Himwich, E., Ho, L.. C., Ho, P., Honma, M., Huang, C.. L., Huang, L., Hughes, D.. H., Ikeda, S., Inoue, M., James, D.. J., Jannuzi, B.. T., Jeter, B., Jiang, W., Jimenez-Rosales, A., Jorstad, S., Jung, T., Karami, M., Karuppusamy, R., Kawashima, T., Keating, G.. K., Kettenis, M., Kim, D., Kim, J., Kim, J., Kino, M., Kofuji, Y., Koyama, S., Kramer, M., Kramer, C., Kuo, C., Lauer, T.. R., Lee, S., Levis, A., Li, Y., Li, Z., Lindqvist, M., Lico, R., Lindahl, G., Liu, K., Lo, W., Lobanov, A.. P., Loinard, L., Lonsdale, C., Lu, R., MacDonald, N.. R., Mao, J., Marchili, N., Marscher, A.. P., Martí-Vidal, I., Matsushita, S., Matthews, L.. D., Medeiros, L., Menten, K.. M., Mizuno, I., Moran, J.. M., Moriyama, K., Moscibrodzka, M., Musoke, G., Mejías, A.. M., Nagai, H., Nagar, N.. M., Nakamura, M., Narayan, R., Narayanan, G., Natarajan, I., Nathanail, A., Neilsen, J., Neri, R., Noutsos, A., Nowak, M.. A., Okino, H., Olivares, H., Ortiz-León, G.. N., Oyama, T., Özel, F., Palumbo, D.. C.. M., Park, J., Patel, N., Pen, U., Piétu, V., Plambeck, R., PopStefanija, A., Porth, O., Pötzl, F.. M., Prather, B., Preciado-López, J.. A., Psaltis, D., Pu, H., Rao, R., Rawlings, M.. G., Raymond, A.. W., Rezzolla, L., Ricarte, A., Ripperda, B., Rogers, A., Rose, M., Roshanineshat, A., Rottmann, H., Roy, A.. L., Ruszczyk, C., Sánchez, S., Sánchez-Arguelles, D., Sasada, M., Savolainen, T., Schloerb, F.. P., Schuster, K., Shao, L., Shen, Z., Small, D., Sohn, B.. W., SooHoo, J., Sun, H., Tazaki, F., Tetarenko, A.. J., Tiede, P., Tilanus, R.. P.. J., Titus, M., Torne, P., Trent, T., Traianou, E., Trippe, S., van Bemmel, I., van Langevelde, H.. J., van Rossum, D.. R., Wagner, J., Ward-Thompson, D., Wardle, J., Weintroub, J., Wex, N., Wharton, R., Wong, G.. N., Wu, Q., Yoon, D., Young, A., Young, K., Younsi, Z., Yuan, F., Yuan, Y., Zensus, J.. A., Zhao, G., Zhao, S. (2021). Event Horizon Telescope observations of the jet launching and collimation in Centaurus A. Nature Astronomy, 5(10), 1017-1028. https://doi.org/10.1038/s41550-021-01417-w
Jensen, S.. E. (2021). Predicting Protein Temperature Adaptation from Prokaryotes to Plants. .
Joyce, E.. M. (2021). Evolution of the northern Australian flora: role of the Sunda-Sahul Floristic Exchange. .
Juneau, S., Olsen, K., Nikutta, R., Jacques, A., Bailey, S. (2021). Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms. Computing in Science & Engineering, 23(2), 15-25. https://doi.org/10.1109/MCSE.2021.3057097
Kadow, C., Illing, S., Lucio-Eceiza, E.. E., Bergemann, M., Ramadoss, M., Sommer, P.. S., Kunst, O., Schartner, T., Pankatz, K., Grieger, J., Schuster, M., Richling, A., Thiemann, H., Kirchner, I., Rust, H.. W., Ludwig, T., Cubasch, U., Ulbrich, U. (2021). Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling. Journal of Open Research Software, 9, 13. https://doi.org/10.5334/jors.253
Katiyar, N., Ramadoss, N., Gupta, D., Pakala, S.. B., Cooper, K., Basu, C. (2021). Transcriptomic profiling of Paulownia elongata in response to heat stress. Plant Gene, 28, 100330. https://doi.org/https://doi.org/10.1016/j.plgene.2021.100330
Kavas, M., Yıldırım, K., Seçgin, Z., Abdulla, M.. F., Gökdemir, G. (2021). Genome-wide identification of the BURP domain-containing genes in Phaseolus vulgaris. Physiology and Molecular Biology of Plants, 27(9), 1885-1902. https://doi.org/10.1007/s12298-021-01052-9
Ketron, R., Leonard, J., Roachell, B., Patel, R., White, R., Caino-Lores, S., Tan, N., Miles, P., Vahi, K., Deelman, E., Brown, D., Taufer, M. (2021). A Case Study in Scientific Reproducibility from the Event Horizon Telescope (EHT). 2021 IEEE 17th International Conference on eScience (eScience), 249-250. https://doi.org/10.1109/eScience51609.2021.00045
Kim, Y. (2021). Imagery Acquisition Methods for Root Analysis in Crops under Field Conditions. The Korean Journal of Crop Science, 452-458.
Kocherlakota, P., Rezzolla, L., Falcke, H., Fromm, C.. M., Kramer, M., Mizuno, Y., Nathanail, A., Olivares, H., Younsi, Z., Akiyama, K., Alberdi, A., Alef, W., Algaba, J.. C., Anantua, R., Asada, K., Azulay, R., Baczko, A., Ball, D., Baloković, M., Barrett, J., Benson, B.. A., Bintley, D., Blackburn, L., Blundell, R., Boland, W., Bouman, K.. L., Bower, G.. C., Boyce, H., Bremer, M., Brinkerink, C.. D., Brissenden, R., Britzen, S., Broderick, A.. E., Broguiere, D., Bronzwaer, T., Byun, D., Carlstrom, J.. E., Chael, A., Chan, C., Chatterjee, S., Chatterjee, K., Chen, M., Chen, Y., Chesler, P.. M., Cho, I., Christian, P., Conway, J.. E., Cordes, J.. M., Crawford, T.. M., Crew, G.. B., Cruz-Osorio, A., Cui, Y., Davelaar, J., De Laurentis, M., Deane, R., Dempsey, J., Desvignes, G., Doeleman, S.. S., Eatough, R.. P., Farah, J., Fish, V.. L., Fomalont, E., Fraga-Encinas, R., Friberg, P., Ford, H.. A., Fuentes, A., Galison, P., Gammie, C.. F., García, R., Gentaz, O., Georgiev, B., Goddi, C., Gold, R., Gómez, J.. L., Gómez-Ruiz, A.. I., Gu, M., Gurwell, M., Hada, K., Haggard, D., Hecht, M.. H., Hesper, R., Ho, L.. C., Ho, P., Honma, M., Huang, C.. L., Huang, L., Hughes, D.. H., Ikeda, S., Inoue, M., Issaoun, S., James, D.. J., Jannuzi, B.. T., Janssen, M., Jeter, B., Jiang, W., Jimenez-Rosales, A., Johnson, M.. D., Jorstad, S., Jung, T., Karami, M., Karuppusamy, R., Kawashima, T., Keating, G.. K., Kettenis, M., Kim, D., Kim, J., Kim, J., Kim, J., Kino, M., Koay, J.. Y., Kofuji, Y., Koch, P.. M., Koyama, S., Kramer, C., Krichbaum, T.. P., Kuo, C., Lauer, T.. R., Lee, S., Levis, A., Li, Y., Li, Z., Lindqvist, M., Lico, R., Lindahl, G., Liu, J., Liu, K., Liuzzo, E., Lo, W., Lobanov, A.. P., Loinard, L., Lonsdale, C., Lu, R., MacDonald, N.. R., Mao, J., Marchili, N., Markoff, S., Marrone, D.. P., Marscher, A.. P., Martí-Vidal, I., Matsushita, S., Matthews, L.. D., Medeiros, L., Menten, K.. M., Mizuno, I., Moran, J.. M., Moriyama, K., Moscibrodzka, M., Müller, C., Musoke, G., Mejías, A.. M., Nagai, H., Nagar, N.. M., Nakamura, M., Narayan, R., Narayanan, G., Natarajan, I., Neilsen, J., Neri, R., Ni, C., Noutsos, A., Nowak, M.. A., Okino, H., Ortiz-León, G.. N., Oyama, T., Özel, F., Palumbo, D.. C., Park, J., Patel, N., Pen, U., Pesce, D.. W., Piétu, V., Plambeck, R., PopStefanija, A., Porth, O., Pötzl, F.. M., Prather, B., Preciado-López, J.. A., Psaltis, D., Pu, H., Ramakrishnan, V., Rao, R., Rawlings, M.. G., Raymond, A.. W., Ricarte, A., Ripperda, B., Roelofs, F., Rogers, A., Ros, E., Rose, M., Roshanineshat, A., Rottmann, H., Roy, A.. L., Ruszczyk, C., Rygl, K.. L., Sánchez, S., Sánchez-Arguelles, D., Sasada, M., Savolainen, T., Schloerb, F.. P., Schuster, K., Shao, L., Shen, Z., Small, D., Sohn, B.. W., SooHoo, J., Sun, H., Tazaki, F., Tetarenko, A.. J., Tiede, P., Tilanus, R.. P., Titus, M., Toma, K., Torne, P., Trent, T., Traianou, E., Trippe, S., van Bemmel, I., van Langevelde, H.. J., van Rossum, D.. R., Wagner, J., Ward-Thompson, D., Wardle, J., Weintroub, J., Wex, N., Wharton, R., Wielgus, M., Wong, G.. N., Wu, Q., Yoon, D., Young, A., Young, K., Yuan, F., Yuan, Y., Zensus, J.. A., Zhao, G., Zhao, S., EHT Collaboration (2021). Constraints on black-hole charges with the 2017 EHT observations of M87*. Physical Review D, 103(10), 104047. https://doi.org/10.1103/PhysRevD.103.104047
Komissarov, S., Porth, O. (2021). Numerical simulations of jets. New Astronomy Reviews, 92, 101610. https://doi.org/10.1016/j.newar.2021.101610
Kranawetter, C., Zeng, S., Joshi, T., Sumner, L.. W. (2021). A Medicago truncatula Metabolite Atlas Enables the Visualization of Differential Accumulation of Metabolites in Root Tissues. Metabolites, 11(4), 238. https://doi.org/10.3390/metabo11040238
Kumar, A., Kumar, R., Shukla, P., Patel, H.. K. (2021). Omics Technologies for Sustainable Agriculture and Global Food Security (Vol II). .
Kusmec, A.. M. (2021). Phenotypic Plasticity and Breeding for Future Climates: Case Studies in Zea mays. .
Lama, T., Minyety, R., Navarro, M., Ward, N. (2021). Biodiversity of Plants in Highly Polluted Areas [Poster]. .
Lee, J., Song, J., LeBlanc, L., Davis, I., Kim, J., Beck, S. (2021). Conserved dual-mode gene regulation programs in higher eukaryotes. Nucleic Acids Research, 49(5), 2583-2597. https://doi.org/10.1093/nar/gkab108
Lee, Y., Dai, N., Müller, S.. I., Guan, C., Parker, M.. J., Fraser, M., Walsh, S., Sridar, J., Mulholland, A., Nayak, K., Sun, Z., Lin, Y., Comb, D., Marks, K., Gonzalez, R., Dowling, D., Bandarian, V., Saleh, L., Corrêa, I., Weigele, P. (2021). Pathways of thymidine hypermodification. Nucleic Acids Research, gkab781. https://doi.org/10.1093/nar/gkab781
Li, Y., Li, T., Wang, Z., Wang, S., Qin, X., Liao, Y. (2021). Plastic film mulch changes the microbial community in maize root-associated compartments. Plant and Soil. https://doi.org/10.1007/s11104-021-05060-2
Lichwa, E.. M. (2021). Ecological and social drivers of Mexican gray wolf (Canis lupus baileyi) home range patterns across spatiotemporal scales. .
Lin, J.. Y., Pesce, D.. W., Wong, G.. N., Arasanipalai, A.. U., Prather, B.. S., Gammie, C.. F. (2021). VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks. arXiv:2110.07185 [astro-ph].
Liu, Z., Ma, H., Ci, X., Li, L., Song, Y., Liu, B., Li, H., Wang, S., Qu, X., Hu, J., Zhang, X., Conran, J.. G., Twyford, A.. D., Yang, J., Hollingsworth, P.. M., Li, J. (2021). Can plastid genome sequencing be used for species identification in Lauraceae?. Botanical Journal of the Linnean Society, 197(1), 1-14. https://doi.org/10.1093/botlinnean/boab018
Lo, C., Shakya, M., Davenport, K., Flynn, M., Gutiérrez, A.. M.. y., Hu, B., Li, P., Jackson, E.. P., Xu, Y., Chain, P.. S.. G. (2021). EDGE COVID-19: A Web Platform to generate submission-ready genomes for SARS-CoV-2 sequencing efforts. arXiv:2006.08058 [q-bio].
Lozano, R., Gazave, E., dos Santos, J.. P.. R., Stetter, M.. G., Valluru, R., Bandillo, N., Fernandes, S.. B., Brown, P.. J., Shakoor, N., Mockler, T.. C., Cooper, E.. A., Taylor Perkins, M., Buckler, E.. S., Ross-Ibarra, J., Gore, M.. A. (2021). Comparative evolutionary genetics of deleterious load in sorghum and maize. Nature Plants, 7(1), 17-24. https://doi.org/10.1038/s41477-020-00834-5
Macías-Duarte, A., Conway, C.. J. (2021). Geographic variation in dispersal of western burrowing owl ( Athene cunicularia hypugaea ) populations across North America. Behavioral Ecology, arab100. https://doi.org/10.1093/beheco/arab100
Malhotra, S., Kaur, R., Jossan, A., Bhullar, K., Handa, A. (2021). Adhesion to Enamel and Dentin: A Review. Science Progress and Research, 1(4), 368-376. https://doi.org/10.52152/spr/2021.156
Martinson, J., Bencic, D.. C., Toth, G.. P., Kostich, M.. S., Flick, R.. W., See, M.. J., Lattier, D., Biales, A.. D., Huang, W. (2021). De novo assembly and annotation of a highly contiguous reference genome of the fathead minnow (Pimephales promelas) reveals an AT-rich repetitive genome with compact gene structure. .
Martínez‐Meyer, E., González‐Bernal, A., Velasco, J.. A., Swetnam, T.. L., González‐Saucedo, Z.. Y., Servín, J., López‐González, C.. A., Oakleaf, J.. K., Liley, S., Heffelfinger, J.. R. (2021). Rangewide habitat suitability analysis for the Mexican wolf ( Canis lupus baileyi ) to identify recovery areas in its historical distribution. Diversity and Distributions, 27(4), 642-654. https://doi.org/10.1111/ddi.13222
Maximova, I., Vasiliev, E., Getmanskaya, A., Kior, D., Sukhov, V., Vodeneev, V., Turlapov, V. (2021). Study of XAI-capabilities for early diagnosis of plant drought. 2021 International Joint Conference on Neural Networks (IJCNN), 1-8. https://doi.org/10.1109/IJCNN52387.2021.9534105
McLean, J., Cleveland, S.. B., Dodge, M., Lucas, M.. P., Longman, R.. J., Giambelluca, T.. W., Jacobs, G.. A. (2021). Building a portal for climate data—Mapping automation, visualization, and dissemination. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.6727
Melendrez, M., Goodner, B., Kvaal, C., Brown, C., Shaw, S. (2021). Curriculum Applications In Microbiology: Bioinformatics In The Classroom. .
Metzger, S., Durden, D., Paleri, S., Sühring, M., Butterworth, B.. J., Florian, C., Mauder, M., Plummer, D.. M., Wanner, L., Xu, K., Desai, A.. R. (2021). Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements. Atmospheric Measurement Techniques, 14(11), 6929-6954. https://doi.org/10.5194/amt-14-6929-2021
Mickelson-Young, L., Wear, E.. E., Song, J., Zynda, G.. J., Thompson, W.. F. (2021). A protocol for genome-wide analysis of DNA replication timing in intact root tips. .
Moeinizade, S., Pham, H., Han, Y., Dobbels, A., Hu, G. (2021). An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions. arXiv:2108.00952 [cs, eess].
Moore, R.. M., Harrison, A.. O., Nasko, D.. J., Chopyk, J., Cebeci, M., Ferrell, B.. D., Polson, S.. W., Wommack, K.. E. (2021). PASV: Automatic protein partitioning and validation using conserved residues. .
Morales, N., Gore, M.. A., Mueller, L.. A., Robbins, K.. R. (2021). Spatio-temporal modeling of high-throughput multi-spectral images improves agronomic trait genomic prediction in hybrid maize. .
Moyer, T.. B., Allen, J.. L., Shaw, L.. N., Hicks, L.. M. (2021). Multiple Classes of Antimicrobial Peptides in Amaranthus tricolor Revealed by Prediction, Proteomics, and Mass Spectrometric Characterization. Journal of Natural Products, 84(2), 444-452. https://doi.org/10.1021/acs.jnatprod.0c01203
Nagy, R.. C., Balch, J.. K., Bissell, E.. K., Cattau, M.. E., Glenn, N.. F., Halpern, B.. S., Ilangakoon, N., Johnson, B., Joseph, M.. B., Marconi, S., others (2021). Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community. Ecosphere, 12(12), e03833.
Nakayama, H., Rowland, S.. D., Cheng, Z., Zumstein, K., Kang, J., Kondo, Y., Sinha, N.. R. (2021). Leaf form diversification in an ornamental heirloom tomato results from alterations in two different HOMEOBOX genes. Current Biology, S0960982221011271. https://doi.org/10.1016/j.cub.2021.08.023
Natarajan, P., Tang, K.. S., Khochfar, S., Nord, B., Sigurdsson, S., Tricot, J., Cappelluti, N., George, D., Hidary, J. (2021). QuasarNet: A new research platform for the data-driven investigation of black holes. arXiv:2103.13932 [astro-ph].
Neves, D.. M., Kerkhoff, A.. J., Echeverría-Londoño, S., Merow, C., Morueta-Holme, N., Peet, R.. K., Sandel, B., Svenning, J., Wiser, S.. K., Enquist, B.. J. (2021). The adaptive challenge of extreme conditions shapes evolutionary diversity of plant assemblages at continental scales. Proceedings of the National Academy of Sciences, 118(37), e2021132118. https://doi.org/10.1073/pnas.2021132118
Ostezan, A., McDonald, S.. C., Tran, D.. T., Souza, R.. S.. E., Li, Z. (2021). Target region sequencing and applications in plants. Journal of Crop Science and Biotechnology, 24(1), 13-26. https://doi.org/10.1007/s12892-020-00056-3
Pandey, A., Calyam, P., Debroy, S., Wang, S., Alarcon, M.. L. (2021). VECTrust: trusted resource allocation in volunteer edge-cloud computing workflows. Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing, 1-10. https://doi.org/10.1145/3468737.3494099
Pappas, N., Roux, S., Hölzer, M., Lamkiewicz, K., Mock, F., Marz, M., Dutilh, B.. E. (2021). Virus Bioinformatics. Encyclopedia of Virology, 124-132.
Park, I.. W., Ramirez‐Parada, T., Mazer, S.. J. (2021). Advancing frost dates have reduced frost risk among most North American angiosperms since 1980. Global Change Biology, 27(1), 165-176. https://doi.org/10.1111/gcb.15380
Patel, N.. P., Jain, A., Haldar, S. (2021). Advancement in tools and techniques to divulge vital biological molecules from microbes associated with corals. Microbial and Natural Macromolecules, 455-493.
Peterson, A.. L., Payseur, B.. A. (2021). Higher Intercellular Variation in Genome-Wide Recombination Rate in Female Mice. Cytogenetic and Genome Research, 1-7. https://doi.org/10.1159/000516998
Peterson, A.. L., Payseur, B.. A. (2021). Sex-specific variation in the genome-wide recombination rate. Genetics, 217(1), iyaa019. https://doi.org/10.1093/genetics/iyaa019
Peterson, A.. L. (2021). Evolution and Sexual Dimorphism in Meiotic Recombination Rates in Murids. .
Pinto, R.. T., Cardoso, T.. B., Paiva, L.. V., Benedito, V.. A. (2021). Genomic and transcriptomic inventory of membrane transporters in coffee: Exploring molecular mechanisms of metabolite accumulation. Plant Science, 312, 111018. https://doi.org/10.1016/j.plantsci.2021.111018
Piombo, E., Rosati, M., Sanna, M., Mezzalama, M., Gullino, M.. L., Spadaro, D. (2021). Sequencing of non-virulent strains of Fusarium fujikuroi reveals genes putatively involved in bakanae disease of rice. Fungal Genetics and Biology, 156, 103622. https://doi.org/10.1016/j.fgb.2021.103622
Ponsero, A.. J., Bomhoff, M., Blumberg, K., Youens-Clark, K., Herz, N.. M., Wood-Charlson, E.. M., Delong, E.. F., Hurwitz, B.. L. (2021). Planet Microbe: a platform for marine microbiology to discover and analyze interconnected ‘omics and environmental data. Nucleic Acids Research, 49(D1), D792-D802. https://doi.org/10.1093/nar/gkaa637
Qin, C., Bartelme, R., Chung, Y.. A., Fairbanks, D., Lin, Y., Liptzin, D., Muscarella, C., Naithani, K., Peay, K., Pellitier, P., St. Rose, A., Stanish, L., Werbin, Z., Zhu, K. (2021). From DNA sequences to microbial ecology: Wrangling NEON soil microbe data with the neonMicrobe R package. Ecosphere, 12(11). https://doi.org/10.1002/ecs2.3842
Ramos‐Barbero, M.. D., Viver, T., Zabaleta, A., Senel, E., Gomariz, M., Antigüedad, I., Santos, F., Martínez‐García, M., Rosselló‐Móra, R., Antón, J. (2021). Ancient saltern metagenomics: tracking changes in microbes and their viruses from the underground to the surface. Environmental Microbiology, 23(7), 3477-3498. https://doi.org/10.1111/1462-2920.15630
Reiter, T., Brooks†, P.. T., Irber†, L., Joslin†, S.. E.. K., Reid†, C.. M., Scott†, C., Brown, C.. T., Pierce-Ward, N.. T. (2021). Streamlining data-intensive biology with workflow systems. GigaScience, 10(1), giaa140. https://doi.org/10.1093/gigascience/giaa140
Rengifo Faiffer, M.. C. (2021). From Community to Transcriptome: Responses of 0RW1S34RfeSDcfkexd09rT2Syntrichia caninervis1RW1S34RfeSDcfkexd09rT2 and Biocrusts to Climate Change. .
Rodríguez-Ramos, J.. A., Borton, M.. A., McGivern, B.. B., Smith, G.. J., Solden, L.. M., Shaffer, M., Daly, R.. A., Purvine, S.. O., Nicora, C.. D., Eder, E.. K., Lipton, M., Hoyt, D.. W., Stegen, J.. C., Wrighton, K.. C. (2021). Microbial Genome-Resolved Metaproteomic Analyses Frame Intertwined Carbon and Nitrogen Cycles in River Hyporheic Sediments. .
Rogers, A.. R., Dunne, J.. C., Romay, C., Bohn, M., Buckler, E.. S., Ciampitti, I.. A., Edwards, J., Ertl, D., Flint-Garcia, S., Gore, M.. A., Graham, C., Hirsch, C.. N., Hood, E., Hooker, D.. C., Knoll, J., Lee, E.. C., Lorenz, A., Lynch, J.. P., McKay, J., Moose, S.. P., Murray, S.. C., Nelson, R., Rocheford, T., Schnable, J.. C., Schnable, P.. S., Sekhon, R., Singh, M., Smith, M., Springer, N., Thelen, K., Thomison, P., Thompson, A., Tuinstra, M., Wallace, J., Wisser, R.. J., Xu, W., Gilmour, A.. R., Kaeppler, S.. M., De Leon, N., Holland, J.. B. (2021). The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment. G3 Genes|Genomes|Genetics, 11(2), jkaa050. https://doi.org/10.1093/g3journal/jkaa050
Rubio-Portillo, E., Martin-Cuadrado, A., Ramos-Esplá, A.. Á., Antón, J. (2021). Metagenomics Unveils Posidonia oceanica “Banquettes” as a Potential Source of Novel Bioactive Compounds and Carbohydrate Active Enzymes (CAZymes). mSystems. https://doi.org/10.1128/mSystems.00866-21
Runck, B.. C., Joglekar, A., Silverstein, K., Chan‐Kang, C., Pardey, P., Wilgenbusch, J.. C. (2021). Digital agriculture platforms: Driving data‐enabled agricultural innovation in a world fraught with privacy and security concerns. Agronomy Journal, agj2.20873. https://doi.org/10.1002/agj2.20873
Sahneh, F., Balk, M.. A., Kisley, M., Chan, C., Fox, M., Nord, B., Lyons, E., Swetnam, T., Huppenkothen, D., Sutherland, W., Walls, R.. L., Quinn, D.. P., Tarin, T., LeBauer, D., Ribes, D., Birnie, D.. P., Lushbough, C., Carr, E., Nearing, G., Fischer, J., Tyle, K., Carrasco, L., Lang, M., Rose, P.. W., Rushforth, R.. R., Roy, S., Matheson, T., Lee, T., Brown, C.. T., Teal, T.. K., Papeș, M., Kobourov, S., Merchant, N. (2021). Ten simple rules to cultivate transdisciplinary collaboration in data science. PLOS Computational Biology, 17(5), e1008879. https://doi.org/10.1371/journal.pcbi.1008879
Salgado-Salazar, C., Skaltsas, D.. N., Phipps, T., Castlebury, L.. A. (2021). Comparative genome analyses suggest a hemibiotrophic lifestyle and virulence differences for the beech bark disease fungal pathogens Neonectria faginata and Neonectria coccinea. G3 Genes|Genomes|Genetics, 11(4), jkab071. https://doi.org/10.1007/978-1-62703-580-4
Satapathy, K. (2021). The Variability of the Black-Hole Image in M87 at the Dynamical Time Scale. .
Satjarak, A., Graham, L.. E., Piotrowski, M.. J., Trest, M.. T., Wilcox, L.. W., Cook, M.. E., Knack, J.. J., Arancibia‐Avila, P. (2021). Shotgun metagenomics and microscopy indicate diverse cyanophytes, other bacteria, and microeukaryotes in the epimicrobiota of a northern Chilean wetland Nostoc (Cyanobacteria). Journal of Phycology, 57(1), 39-50. https://doi.org/10.1111/jpy.13084
Satjarak, A., Piotrowski, M.. J., Graham, L.. E., Trest, M.. T., Wilcox, L.. W., Knack, J.. J., Cook, M.. E., Arancibia-Avila, P. (2021). Microscopic and Metagenomic Evidence for Eukaryotic Microorganisms Associated with Atacama Desert Populations of Giant Equisetum. American Fern Journal, 111(2). https://doi.org/10.1640/0002-8444-111.2.86
Schmitz, A.. M., Pian, B., Medin, S., Reid, M.. C., Wu, M., Gazel, E., Barstow, B. (2021). Generation of a Gluconobacter oxydans knockout collection for improved extraction of rare earth elements. Nature Communications, 12(1), 6693. https://doi.org/10.1038/s41467-021-27047-4
Senn, S., Pangell, K., Bowerman, A.. L. (2021). Microbes in the Datura Rootzone Contribute to an Antioxidant Support System of Flavonoids and Other Aromatic Compounds. .
Shimizu, K.. K., Copetti, D., Okada, M., Wicker, T., Tameshige, T., Hatakeyama, M., Shimizu-Inatsugi, R., Aquino, C., Nishimura, K., Kobayashi, F., Murata, K., Kuo, T., Delorean, E., Poland, J., Haberer, G., Spannagl, M., Mayer, K.. F.. X., Gutierrez-Gonzalez, J., Muehlbauer, G.. J., Monat, C., Himmelbach, A., Padmarasu, S., Mascher, M., Walkowiak, S., Nakazaki, T., Ban, T., Kawaura, K., Tsuji, H., Pozniak, C., Stein, N., Sese, J., Nasuda, S., Handa, H. (2021). De Novo Genome Assembly of the Japanese Wheat Cultivar Norin 61 Highlights Functional Variation in Flowering Time and Fusarium -Resistant Genes in East Asian Genotypes. Plant and Cell Physiology, 62(1), 8-27. https://doi.org/10.1093/pcp/pcaa152
Sorgini, C.. A., Roberts, L.. M., Sullivan, M., Cousins, A.. B., Baxter, I., Studer, A.. J. (2021). The genetic architecture of leaf stable carbon isotope composition in Zea mays and the effect of transpiration efficiency on leaf elemental accumulation. G3 Genes|Genomes|Genetics, 11(9), jkab222. https://doi.org/10.1093/g3journal/jkab222
Stanschewski, C.. S., Rey, E., Fiene, G., Craine, E.. B., Wellman, G., Melino, V.. J., S. R. Patiranage, D., Johansen, K., Schmöckel, S.. M., Bertero, D., Oakey, H., Colque-Little, C., Afzal, I., Raubach, S., Miller, N., Streich, J., Amby, D.. B., Emrani, N., Warmington, M., Mousa, M.. A.. A., Wu, D., Jacobson, D., Andreasen, C., Jung, C., Murphy, K., Bazile, D., Tester, M., on behalf of the Quinoa Phenotyping Consortium (2021). Quinoa Phenotyping Methodologies: An International Consensus. Plants, 10(9), 1759. https://doi.org/10.3390/plants10091759
Stubbs, J., Cardone, R., Cleveland, S., Jacobs, G., Packard, M., Jamthe, A., Padhy, S., Black, S., Terry, S., Looney, J., Meiring, J., Dahan, M. (2021). Sustainability in the Tapis Framework. . https://doi.org/10.24251/HICSS.2021.874
Stubbs, J., Cardone, R., Packard, M., Jamthe, A., Padhy, S., Terry, S., Looney, J., Meiring, J., Black, S., Dahan, M., Cleveland, S., Jacobs, G. (2021). Tapis: An API Platform for Reproducible, Distributed Computational Research. Advances in Information and Communication, 1363, 878-900.
Subramaniam, S., Shahani, N. (2021). Ribosome Profiling Reveals a Dichotomy Between Ribosome Occupancy of Nuclear-Encoded and Mitochondrial-Encoded OXPHOS mRNA Transcripts in a Striatal Cell Model of Huntington Disease. .
Swartz, L.. G., Liu, S., Dahlquist, D., Walter, E.. S., Mcinturf, S., Bucksch, A., Mendoza-Cozatl, D.. G. (2021). Tracking dynamic changes of leaves in response to nutrient availability using an open-source cloud-based phenotyping system (OPEN Leaf). .
Swetnam, T.. L., Yool, S.. R., Roy, S., Falk, D.. A. (2021). On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine. Remote Sensing, 13(8), 1448. https://doi.org/10.3390/rs13081448
Tan, P., Du, X., Shang, Y., Zhu, K., Joshi, S., Kaur, K., Khare, T., Kumar, V. (2021). Ion transporters and their exploration for conferring abiotic stress tolerance in plants. Plant Growth Regulation, 96(1), 1-23. https://doi.org/10.1007/s10725-021-00762-0
Taş, N., de Jong, A.. E., Li, Y., Trubl, G., Xue, Y., Dove, N.. C. (2021). Metagenomic tools in microbial ecology research. Current Opinion in Biotechnology, 67, 184-191. https://doi.org/10.1016/j.copbio.2021.01.019
Tello-Ruiz, M.. K., Naithani, S., Gupta, P., Olson, A., Wei, S., Preece, J., Jiao, Y., Wang, B., Chougule, K., Garg, P., Elser, J., Kumari, S., Kumar, V., Contreras-Moreira, B., Naamati, G., George, N., Cook, J., Bolser, D., D’Eustachio, P., Stein, L.. D., Gupta, A., Xu, W., Regala, J., Papatheodorou, I., Kersey, P.. J., Flicek, P., Taylor, C., Jaiswal, P., Ware, D. (2021). Gramene 2021: harnessing the power of comparative genomics and pathways for plant research. Nucleic Acids Research, 49(D1), D1452-D1463. https://doi.org/10.1093/nar/gkaa979
Thessen, A.. E., Bogdan, P., Patterson, D.. J., Casey, T.. M., Hinojo-Hinojo, C., de Lange, O., Haendel, M.. A. (2021). From Reductionism to Reintegration: Solving society’s most pressing problems requires building bridges between data types across the life sciences. PLOS Biology, 19(3), e3001129. https://doi.org/10.1371/journal.pbio.3001129
Tisza, M.. J., Buck, C.. B. (2021). A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases. Proceedings of the National Academy of Sciences, 118(23), e2023202118. https://doi.org/10.1073/pnas.2023202118
Tserej, O., Feeley, K.. J. (2021). Variation in leaf temperatures of tropical and subtropical trees are related to leaf thermoregulatory traits and not geographic distributions. Biotropica, 53(3), 868-878. https://doi.org/10.1111/btp.12919
Valliyodan, B., Brown, A.. V., Wang, J., Patil, G., Liu, Y., Otyama, P.. I., Nelson, R.. T., Vuong, T., Song, Q., Musket, T.. A., Wagner, R., Marri, P., Reddy, S., Sessions, A., Wu, X., Grant, D., Bayer, P.. E., Roorkiwal, M., Varshney, R.. K., Liu, X., Edwards, D., Xu, D., Joshi, T., Cannon, S.. B., Nguyen, H.. T. (2021). Genetic variation among 481 diverse soybean accessions, inferred from genomic re-sequencing. Scientific Data, 8(1), 50. https://doi.org/10.1038/s41597-021-00834-w
Varshney, R.. K., Roorkiwal, M., Sun, S., Bajaj, P., Chitikineni, A., Thudi, M., Singh, N.. P., Du, X., Upadhyaya, H.. D., Khan, A.. W., Wang, Y., Garg, V., Fan, G., Cowling, W.. A., Crossa, J., Gentzbittel, L., Voss-Fels, K.. P., Valluri, V.. K., Sinha, P., Singh, V.. K., Ben, C., Rathore, A., Punna, R., Singh, M.. K., Tar’an, B., Bharadwaj, C., Yasin, M., Pithia, M.. S., Singh, S., Soren, K.. R., Kudapa, H., Jarquín, D., Cubry, P., Hickey, L.. T., Dixit, G.. P., Thuillet, A., Hamwieh, A., Kumar, S., Deokar, A.. A., Chaturvedi, S.. K., Francis, A., Howard, R., Chattopadhyay, D., Edwards, D., Lyons, E., Vigouroux, Y., Hayes, B.. J., von Wettberg, E., Datta, S.. K., Yang, H., Nguyen, H.. T., Wang, J., Siddique, K.. H.. M., Mohapatra, T., Bennetzen, J.. L., Xu, X., Liu, X. (2021). A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature, 599(7886), 622-627. https://doi.org/10.1038/s41586-021-04066-1
Vuorinen, K.. E.. M., Austrheim, G., Mysterud, A., Gya, R., Vandvik, V., Grytnes, J., Speed, J.. D.. M. (2021). Functional traits of alpine plant communities show long‐term resistance to changing herbivore densities. Ecosphere, 12(12). https://doi.org/10.1002/ecs2.3887
Wang, B., Jiao, Y., Chougule, K., Olson, A., Huang, J., Llaca, V., Fengler, K., Wei, X., Wang, L., Wang, X., Regulski, M., Drenkow, J., Gingeras, T., Hayes, C., Armstrong, J.. S., Huang, Y., Xin, Z., Ware, D. (2021). Pan-genome Analysis in Sorghum Highlights the Extent of Genomic Variation and Sugarcane Aphid Resistance Genes. .
Wang, X., Liu, J., Liang, C., Zhao, Z., Feng, G., Zhang, J. (2021). Biodiversity dataset of vascular plants and birds in Chinese urban greenspace. Ecological Research, 36(4), 755-761. https://doi.org/10.1111/1440-1703.12240
Werbin, Z.. R., Hackos, B., Dietze, M.. C., Bhatnagar, J.. M. (2021). The National Ecological Observatory Network’s soil metagenomes: assembly and basic analysis. F1000Research, 10, 299. https://doi.org/10.12688/f1000research.51494.1
Wieser, F., Stryeck, S., Lang, K., Hahn, C., Thallinger, G.. G., Feichtinger, J., Hack, P., Stepponat, M., Merchant, N., Lindstaedt, S., Oberdorfer, G. (2021). A local platform for user-friendly FAIR data management and reproducible analytics. Journal of Biotechnology, 341, 43-50. https://doi.org/10.1016/j.jbiotec.2021.08.004
Woltz, M. (2021). Barcoding US Ants: Ozarks Region-Research Highlight. The Confluence, 1(1), 3.
Wu, D., Tanaka, R., Li, X., Ramstein, G.. P., Cu, S., Hamilton, J.. P., Buell, C.. R., Stangoulis, J., Rocheford, T., Gore, M.. A. (2021). High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain. G3 Genes|Genomes|Genetics, 11(4), jkab059. https://doi.org/10.1093/g3journal/jkab059
Wulff, J.. A., Kjeldgaard, M.. K., Eubanks, M.. D., Sword, G.. A. (2021). From the bellies of babes: a larval-based approach to ant molecular gut content analysis. Insectes Sociaux, 68(2-3), 245-253. https://doi.org/10.1007/s00040-021-00822-8
Xin, Z., Wang, M., Cuevas, H.. E., Chen, J., Harrison, M., Pugh, N.. A., Morris, G. (2021). Sorghum genetic, genomic, and breeding resources. Planta, 254(6), 114. https://doi.org/10.1007/s00425-021-03742-w
Yan, H., Haak, D.. C., Li, S., Huang, L., Bombarely, A. (2021). Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice. Plant Communications, 100270. https://doi.org/10.1016/j.xplc.2021.100270
Yue, L., Wang, Y., Wang, L., Yao, S., Cong, C., Ren, L., Zhang, B. (2021). Impacts of soil compaction and historical soybean variety growth on soil macropore structure. Soil and Tillage Research, 214, 105166. https://doi.org/10.1016/j.still.2021.105166
Zayed, A.. A., Lücking, D., Mohssen, M., Cronin, D., Bolduc, B., Gregory, A.. C., Hargreaves, K.. R., Piehowski, P.. D., White III, R.. A., Huang, E.. L., Adkins, J.. N., Roux, S., Moraru, C., Sullivan, M.. B. (2021). efam: an e xpanded, metaproteome-supported HMM profile database of viral protein fam ilies. Bioinformatics, btab451. https://doi.org/10.1093/bioinformatics/btab451
Zeng, S., Mao, Z., Ren, Y., Wang, D., Xu, D., Joshi, T. (2021). G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers. Nucleic Acids Research, 49(W1), W228-W236. https://doi.org/10.1093/nar/gkab407
Zeng, S., Škrabišová, M., Lyu, Z., Chan, Y.. O., Dietz, N., Bilyeu, K., Joshi, T. (2021). Application of SNPViz v2.0 using next-generation sequencing data sets in the discovery of potential causative mutations in candidate genes associated with phenotypes. International Journal of Data Mining and Bioinformatics, 25(1/2), 65. https://doi.org/10.1504/IJDMB.2021.116886
Zhang, J., Cavallaro, M., Hebenstreit, D. (2021). Timing RNA polymerase pausing with TV-PRO-seq. Cell Reports Methods, 100083. https://doi.org/10.1016/j.crmeth.2021.100083
Zhang, J., Condon, L.. E., Tran, H., Maxwell, R.. M. (2021). A national topographic dataset for hydrological modeling over the contiguous United States. Earth System Science Data, 13(7), 3263–3279.
Zhang, T., Mudgett, M., Rambabu, R., Abramson, B., Dai, X., Michael, T.. P., Zhao, Y. (2021). Selective inheritance of target genes from only one parent of sexually reproduced F1 progeny in Arabidopsis. Nature Communications, 12(1), 3854. https://doi.org/10.1038/s41467-021-24195-5
Zhao, L., Liu, L., Liu, Y., Dou, X., Cai, H., Aslam, M., Hou, Z., Jin, X., Li, Y., Wang, L., Zhao, H., Wang, X., Sicard, A., Qin, Y. (2021). Characterization of germline development and identification of genes associated with germline specification in pineapple. Horticulture Research, 8(1), 239. https://doi.org/10.1038/s41438-021-00669-x
Zhong, Z., Tian, F., Roux, S., Gazitúa, M.. C., Solonenko, N.. E., Li, Y., Davis, M.. E., Van Etten, J.. L., Mosley-Thompson, E., Rich, V.. I., Sullivan, M.. B., Thompson, L.. G. (2021). Glacier ice archives nearly 15,000-year-old microbes and phages. Microbiome, 9(1), 160. https://doi.org/10.1186/s40168-021-01106-w
de Deus Vidal, J., le Roux, P.. C., Johnson, S.. D., te Beest, M., Clark, V.. R. (2021). Beyond the Tree-Line: The C3-C4 “Grass-Line” Can Track Global Change in the World’s Grassy Mountain Systems. Frontiers in Ecology and Evolution, 9, 760118. https://doi.org/10.3389/fevo.2021.760118
2020
Aktar, R., Kharismawati, D.. E., Palaniappan, K., Aliakbarpour, H., Bunyak, F., Stapleton, A.. E., Kazic, T. (2020). Robust mosaicking of maize fields from aerial imagery. Applications in Plant Sciences, 8(8). https://doi.org/10.1002/aps3.11387
Alawadi, A.. A. (2020). Effect of Western Diet and Caloric Substitution with Apple Pomace on Fatty Acid Composition and Gene Expression in the Hypothalamus of Growing Female Sprague-Dawley Rats. .
Alhajj, R., Moshirpour, M., Far, B. (2020). Data Management and Analysis: Case Studies in Education, Healthcare and Beyond. .
Aloisio, J.. M., Palmer, M.. I., Tuininga, A.. R., Lewis, J.. D. (2020). Introduced and native plant species composition of vacant unmanaged green roofs in New York City. Urban Ecosystems, 23(6), 1227-1238. https://doi.org/10.1007/s11252-020-00992-6
Anche, M.. T., Kaczmar, N.. S., Morales, N., Clohessy, J.. W., Ilut, D.. C., Gore, M.. A., Robbins, K.. R. (2020). Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize. Theoretical and Applied Genetics, 133(10), 2853-2868. https://doi.org/10.1007/s00122-020-03637-6
Anderson, J., Keppel, G., Thomson, S., Gibbs, J., Brunetti, G. (2020). High diversity of native plants and vegetation types in the Morialta Conservation Park and the threat of invasive species. Transactions of the Royal Society of South Australia, 144(2), 180-199. https://doi.org/10.1080/03721426.2020.1786779
Arifuzzaman, M., Horvath, D., Rahman, M. (2020). Transcriptome Analysis Suggests Cytokinin and Gibberellin Signaling May Account for Differences Between Spring and Winter Canola (Brassica napus L.) Root Development. Journal of Plant Biology. https://doi.org/10.1007/s12374-020-09270-6
Arnaud, E., Laporte, M., Kim, S., Aubert, C., Leonelli, S., Miro, B., Cooper, L., Jaiswal, P., Kruseman, G., Shrestha, R., Buttigieg, P.. L., Mungall, C.. J., Pietragalla, J., Agbona, A., Muliro, J., Detras, J., Hualla, V., Rathore, A., Das, R.. R., Dieng, I., Bauchet, G., Menda, N., Pommier, C., Shaw, F., Lyon, D., Mwanzia, L., Juarez, H., Bonaiuti, E., Chiputwa, B., Obileye, O., Auzoux, S., Yeumo, E.. D., Mueller, L.. A., Silverstein, K., Lafargue, A., Antezana, E., Devare, M., King, B. (2020). The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems. Patterns, 1(7), 100105. https://doi.org/10.1016/j.patter.2020.100105
Arya, S.. S., Rookes, J.. E., Cahill, D.. M., Lenka, S.. K. (2020). Next-generation metabolic engineering approaches towards development of plant cell suspension cultures as specialized metabolite producing biofactories. Biotechnology Advances, 45, 107635. https://doi.org/10.1016/j.biotechadv.2020.107635
Bainard, J.. D., Newmaster, S.. G., Budke, J.. M. (2020). Genome size and endopolyploidy evolution across the moss phylogeny. Annals of Botany, 125(4), 543-555. https://doi.org/10.1093/aob/mcz194
Barker, R., Lombardino, J., Rasmussen, K., Gilroy, S. (2020). Test of Arabidopsis Space Transcriptome: A Discovery Environment to Explore Multiple Plant Biology Spaceflight Experiments. Frontiers in Plant Science, 11, 147. https://doi.org/10.3389/fpls.2020.00147
Baránková, S., Pascual‐Díaz, J.. P., Sultana, N., Alonso‐Lifante, M.. P., Balant, M., Barros, K., D'Ambrosio, U., Malinská, H., Peska, V., Pérez Lorenzo, I., Kovařík, A., Vyskot, B., Janoušek, B., Garcia, S. (2020). Sex‐chrom, a database on plant sex chromosomes. New Phytologist, 227(6), 1594-1604. https://doi.org/10.1111/nph.16635
Beckman, N.. G. (2020). Collaborative Research: Diverse selective pressure on fruit chemical traits from mutualists and antagonists as a major driver of chemical evolution at the whole plant level. . https://doi.org/10.26078/1EDM-3130
Bekkering, C.. S., Huang, J., Tian, L. (2020). Image-Based, Organ-Level Plant Phenotyping for Wheat Improvement. Agronomy, 10(9), 1287. https://doi.org/10.3390/agronomy10091287
Bessell, T., Frith, J., Scott, L., Skuljan, J., Furfaro, R., Reddy, V. (2020). PHANTOM ECHOES: A Five-Eyes SDA Experiment to Examine GEO Rendezvous and Proximity Operations Simon George, Andrew Ash Defence Science & Technology Laboratory, UK. .
Bezuidt, O.. K., Lebre, P.. H., Pierneef, R., León-Sobrino, C., Adriaenssens, E.. M., Cowan, D.. A., Van de Peer, Y., Makhalanyane, T.. P. (2020). Phages actively challenge niche communities in the Antarctic soils. .
Bitterman, T. (2020). Offering Simulation Services Using a Hybrid Cloud/HPC Architecture. Simulation for Cyber-Physical Systems Engineering, 259-282.
Burnett, K.. G., Durica, D.. S., Mykles, D.. L., Stillman, J.. H., Schmidt, C. (2020). Recommendations for Advancing Genome to Phenome Research in Non-Model Organisms. Integrative and Comparative Biology, 60(2), 397-401. https://doi.org/10.1093/icb/icaa059
Busener, N., Kengkanna, J., Saengwilai, P.. J., Bucksch, A. (2020). Image‐based root phenotyping links root architecture to micronutrient concentration in cassava. PLANTS, PEOPLE, PLANET, 2(6), 678-687. https://doi.org/10.1002/ppp3.10130
Campbell, M.. A., Gwin, C., Tai, H.. H., Adams, R. (2020). Changes in gene expression in potato meristems treated with the sprout suppressor 1,4-dimethylnaphthalene are dependent on tuber age and dormancy status. PLOS ONE, 15(7), e0235444. https://doi.org/10.1371/journal.pone.0235444
Castelletti, S., Coupel-Ledru, A., Granato, I., Palaffre, C., Cabrera-Bosquet, L., Tonelli, C., Nicolas, S.. D., Tardieu, F., Welcker, C., Conti, L. (2020). Maize adaptation across temperate climates was obtained via expression of two florigen genes. PLOS Genetics, 16(7), e1008882. https://doi.org/10.1371/journal.pgen.1008882
Chen, L., Méheust, R., Crits-Christoph, A., McMahon, K.. D., Nelson, T.. C., Warren, L.. A., Banfield, J.. F. (2020). Large Freshwater Phages with the Potential to Augment Aerobic Methane Oxidation. .
Cheng, L., Wang, Y., Zhao, Y., Li, Y., He, F., Li, Z. (2020). Characterization of the complete chloroplast genome of the endangered Chinese species Cymbidium lowianum (Rchb.f.) Rchb.f.. Mitochondrial DNA Part B, 5(3), 3318-3319. https://doi.org/10.1080/23802359.2020.1815603
Choi, I. (2020). Remote Data Access in Scientific Computing. .
Cimen, E., Jensen, S.. E., Buckler, E.. S. (2020). Building a tRNA thermometer to estimate microbial adaptation to temperature. Nucleic Acids Research, 48(21), 12004-12015. https://doi.org/10.1093/nar/gkaa1030
Coate, J.. E., Schreyer, W.. M., Kum, D., Doyle, J.. J. (2020). Robust Cytonuclear Coordination of Transcription in Nascent Arabidopsis thaliana Autopolyploids. Genes, 11(2), 134. https://doi.org/10.3390/genes11020134
Coffman, S.. M., Hufford, M.. B., Andorf, C.. M., Lübberstedt, T. (2020). Haplotype structure in commercial maize breeding programs in relation to key founder lines. Theoretical and Applied Genetics, 133(2), 547-561. https://doi.org/10.1007/s00122-019-03486-y
Condon, L.. E., Atchley, A.. L., Maxwell, R.. M. (2020). Evapotranspiration depletes groundwater under warming over the contiguous United States. Nature Communications, 11(1), 873. https://doi.org/10.1038/s41467-020-14688-0
Craven, D., Sande, M.. T., Meyer, C., Gerstner, K., Bennett, J.. M., Giling, D.. P., Hines, J., Phillips, H.. R.. P., May, F., Bannar‐Martin, K.. H., Chase, J.. M., Keil, P. (2020). A cross‐scale assessment of productivity–diversity relationships. Global Ecology and Biogeography, 29(11), 1940-1955. https://doi.org/10.1111/geb.13165
Dai, X., Xu, Z., Liang, Z., Tu, X., Zhong, S., Schnable, J.. C., Li, P. (2020). Non‐homology‐based prediction of gene functions in maize ( Zea mays ssp. mays ). The Plant Genome, 13(2). https://doi.org/10.1002/tpg2.20015
Danczak, R.. E., Daly, R.. A., Borton, M.. A., Stegen, J.. C., Roux, S., Wrighton, K.. C., Wilkins, M.. J. (2020). Ecological Assembly Processes Are Coordinated between Bacterial and Viral Communities in Fractured Shale Ecosystems. mSystems, 5(2). https://doi.org/10.1128/mSystems.00098-20
DeBarry, J.. D., Kissinger, J.. C., Nural, M.. V., Pakala, S.. B., Humphrey, J.. C., Meyer, E.. V.. S., Cordy, R.. J., Cabrera-Mora, M., Trippe, E.. D., Aguilar, J.. B., Karpuzoglu, E., Yan, Y.. H., Brady, J.. A., Hankus, A.. N., Lackman, N., Gingle, A.. R., Nayak, V., Moreno, A., Joyner, C.. J., Gutierrez, J.. B., Galinski, M.. R. (2020). Practical Recommendations for Supporting a Systems Biology Cyberinfrastructure. Data Science Journal, 19, 24. https://doi.org/10.5334/dsj-2020-024
Debauche, O., Mahmoudi, S., Manneback, P., Bindelle, J., Lebeau, F. (2020). A new Collaborative Platform for Research in Smart Farming. Procedia Computer Science, 177, 450-455. https://doi.org/10.1016/j.procs.2020.10.061
Debauche, O., Mahmoudi, S.. A., De Cock, N., Mahmoudi, S., Manneback, P., Lebeau, F. (2020). Cloud architecture for plant phenotyping research. Concurrency and Computation: Practice and Experience, 32(17). https://doi.org/10.1002/cpe.5661
Doak, T., Sanders, S., Ganote, C., Papudeshi, B., Fischer, J., Hancock, D.. Y. (2020). National Center for Genome Analysis Support (NCGAS): Genomics and other Science in the NSF-Funded Jetstream Cloud. .
Dunkel, F.. W.. A. (2020). A Phase-Field Approach to Diffusion-Driven Fracture. .
Eissler, Y., Dorador, C., Kieft, B., Molina, V., Hengst, M. (2020). Virus and Potential Host Microbes from Viral-Enriched Metagenomic Characterization in the High-Altitude Wetland, Salar de Huasco, Chile. Microorganisms, 8(7), 1077. https://doi.org/10.3390/microorganisms8071077
Esteva, M., Xu, W., Simone, N., Gupta, A., Jah, M. (2020). Modeling Data Curation to Scientific Inquiry: A Case Study for Multimodal Data Integration. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 235-242. https://doi.org/10.1145/3383583.3398539
Ezebialu, C.. U., Awuribeh, I.. B., Eze, E.. M., Ogu, C.. T., Nwankwo, U.. G., Afunwa, R.. A. (2020). Screening and Characterization of Antibiotic Producing Organisms from Waste Dump Soil Sample. Advances in Microbiology, 10(9), 422-433. https://doi.org/10.4236/aim.2020.109031
Falcon, C.. M., Kaeppler, S.. M., Spalding, E.. P., Miller, N.. D., Haase, N., AlKhalifah, N., Bohn, M., Buckler, E.. S., Campbell, D.. A., Ciampitti, I., Coffey, L., Edwards, J., Ertl, D., Flint‐Garcia, S., Gore, M.. A., Graham, C., Hirsch, C.. N., Holland, J.. B., Jarquín, D., Knoll, J., Lauter, N., Lawrence‐Dill, C.. J., Lee, E.. C., Lorenz, A., Lynch, J.. P., Murray, S.. C., Nelson, R., Romay, M.. C., Rocheford, T., Schnable, P.. S., Scully, B., Smith, M., Springer, N., Tuinstra, M.. R., Walton, R., Weldekidan, T., Wisser, R.. J., Xu, W., Leon, N. (2020). Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds. Crop Science, 60(1), 62-81. https://doi.org/10.1002/csc2.20035
Flynn, L., Pandya, T., Wolf, E.. D. (2020). Creating a phenology trail around Central Park Pond. Journal of Emerging Investigators, 2.
Forsythe, E.. S., Nelson, A.. D.. L., Beilstein, M.. A. (2020). Biased Gene Retention in the Face of Introgression Obscures Species Relationships. Genome Biology and Evolution, 12(9), 1646-1663. https://doi.org/10.1093/gbe/evaa149
Francisco Ribeiro, P., Camargo Rodriguez, A.. V. (2020). Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa. Plants, 9(3), 381. https://doi.org/10.3390/plants9030381
Gallagher, R.. V., Falster, D.. S., Maitner, B.. S., Salguero-Gómez, R., Vandvik, V., Pearse, W.. D., Schneider, F.. D., Kattge, J., Poelen, J.. H., Madin, J.. S., Ankenbrand, M.. J., Penone, C., Feng, X., Adams, V.. M., Alroy, J., Andrew, S.. C., Balk, M.. A., Bland, L.. M., Boyle, B.. L., Bravo-Avila, C.. H., Brennan, I., Carthey, A.. J.. R., Catullo, R., Cavazos, B.. R., Conde, D.. A., Chown, S.. L., Fadrique, B., Gibb, H., Halbritter, A.. H., Hammock, J., Hogan, J.. A., Holewa, H., Hope, M., Iversen, C.. M., Jochum, M., Kearney, M., Keller, A., Mabee, P., Manning, P., McCormack, L., Michaletz, S.. T., Park, D.. S., Perez, T.. M., Pineda-Munoz, S., Ray, C.. A., Rossetto, M., Sauquet, H., Sparrow, B., Spasojevic, M.. J., Telford, R.. J., Tobias, J.. A., Violle, C., Walls, R., Weiss, K.. C.. B., Westoby, M., Wright, I.. J., Enquist, B.. J. (2020). Open Science principles for accelerating trait-based science across the Tree of Life. Nature Ecology & Evolution, 4(3), 294-303. https://doi.org/10.1038/s41559-020-1109-6
García-Portela, M., Reguera, B., Gago, J., Le Gac, M., Rodríguez, F. (2020). Uptake of Inorganic and Organic Nitrogen Sources by Dinophysis acuminata and D. acuta. Microorganisms, 8(2), 187. https://doi.org/10.3390/microorganisms8020187
Garrison, N.. L., Brewer, M.. S., Bond, J.. E. (2020). Shifting evolutionary sands: transcriptome characterization of the Aptostichus atomarius species complex. BMC Evolutionary Biology, 20(1), 68. https://doi.org/10.1186/s12862-020-01606-7
Gedir, J.. V., Cain, J.. W., Swetnam, T.. L., Krausman, P.. R., Morgart, J.. R. (2020). Extreme drought and adaptive resource selection by a desert mammal. Ecosphere, 11(7). https://doi.org/10.1002/ecs2.3175
Gemeinholzer, B., Vences, M., Beszteri, B., Bruy, T., Felden, J., Kostadinov, I., Miralles, A., Nattkemper, T.. W., Printzen, C., Renz, J., Rybalka, N., Schuster, T., Weibulat, T., Wilke, T., Renner, S.. S. (2020). Data storage and data re-use in taxonomy—the need for improved storage and accessibility of heterogeneous data. Organisms Diversity & Evolution, 20(1), 1-8. https://doi.org/10.1007/s13127-019-00428-w
Giatrakos, N., Arnu, D., Bitsakis, T., Deligiannakis, A., Garofalakis, M., Klinkenberg, R., Konidaris, A., Kontaxakis, A., Kotidis, Y., Samoladas, V., Simitsis, A., Stamatakis, G., Temme, F., Torok, M., Yaqub, E., Montagud, A., Ponce de León, M., Arndt, H., Burkard, S. (2020). INforE: Interactive Cross-platform Analytics for Everyone. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 3389-3392. https://doi.org/10.1145/3340531.3417435
Giné-Bordonaba, J., Busatto, N., Larrigaudière, C., Lindo-García, V., Echeverria, G., Vrhovsek, U., Farneti, B., Biasioli, F., De Quattro, C., Rossato, M., Delledonne, M., Costa, F. (2020). Investigation of the transcriptomic and metabolic changes associated with superficial scald physiology impaired by lovastatin and 1-methylcyclopropene in pear fruit (cv. “Blanquilla”). Horticulture Research, 7(1), 49. https://doi.org/10.1038/s41438-020-0272-x
Goller, C.. C., Ott, L.. E. (2020). Evolution of an 8‐week upper‐division metagenomics course: Diagramming a learning path from observational to quantitative microbiome analysis. Biochemistry and Molecular Biology Education, 48(4), 391-403. https://doi.org/10.1002/bmb.21349
Gough, C. (2020). Vertically Aligned Professional Learning in the New Biology. .
Graham, L.. E., Piotrowski, M.. J., Graham, J.. M., Satjarak, A. (2020). Molecular markers obtained from draft genomic sequence data characterise an isolate of Oedogonium (Chlorophyceae) used for biomass applications. Phycologia, 59(4), 340-345. https://doi.org/10.1080/00318884.2020.1761683
Grover, J.. W. (2020). Investigating the Role of RNA-Directed DNA Methylation in Plant Reproduction and Development of Computational Resources Enabling Epigenomics Research. .
Gulino, K., Rahman, J., Badri, M., Morton, J., Bonneau, R., Ghedin, E. (2020). Initial Mapping of the New York City Wastewater Virome. mSystems, 5(3). https://doi.org/10.1128/mSystems.00876-19
Hannah, L., Roehrdanz, P.. R., Marquet, P.. A., Enquist, B.. J., Midgley, G., Foden, W., Lovett, J.. C., Corlett, R.. T., Corcoran, D., Butchart, S.. H.. M., Boyle, B., Feng, X., Maitner, B., Fajardo, J., McGill, B.. J., Merow, C., Morueta‐Holme, N., Newman, E.. A., Park, D.. S., Raes, N., Svenning, J. (2020). 30% land conservation and climate action reduces tropical extinction risk by more than 50%. Ecography, 43(7), 943-953. https://doi.org/10.1111/ecog.05166
Heck, M., Neely, B.. A. (2020). Proteomics in Non-model Organisms: A New Analytical Frontier. Journal of Proteome Research, 19(9), 3595-3606. https://doi.org/10.1021/acs.jproteome.0c00448
Hejblum, B.. P., Kunzmann, K., Lavagnini, E., Hutchinson, A., Robertson, D.. S., Jones, S.. C., Eckes-Shephard, A.. H. (2020). Realistic and Robust Reproducible Research for Biostatistics. .
Helmsauer, K., Valieva, M.. E., Ali, S., Chamorro González, R., Schöpflin, R., Röefzaad, C., Bei, Y., Dorado Garcia, H., Rodriguez-Fos, E., Puiggròs, M., Kasack, K., Haase, K., Keskeny, C., Chen, C.. Y., Kuschel, L.. P., Euskirchen, P., Heinrich, V., Robson, M.. I., Rosswog, C., Toedling, J., Szymansky, A., Hertwig, F., Fischer, M., Torrents, D., Eggert, A., Schulte, J.. H., Mundlos, S., Henssen, A.. G., Koche, R.. P. (2020). Enhancer hijacking determines extrachromosomal circular MYCN amplicon architecture in neuroblastoma. Nature Communications, 11(1), 5823. https://doi.org/10.1038/s41467-020-19452-y
Hevroni, G., Flores-Uribe, J., Béjà, O., Philosof, A. (2020). Seasonal and diel patterns of abundance and activity of viruses in the Red Sea. Proceedings of the National Academy of Sciences, 117(47), 29738-29747. https://doi.org/10.1073/pnas.2010783117
Holzmeyer, L., Hartig, A., Franke, K., Brandt, W., Muellner-Riehl, A.. N., Wessjohann, L.. A., Schnitzler, J. (2020). Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data. Proceedings of the National Academy of Sciences, 117(22), 12444-12451. https://doi.org/10.1073/pnas.1915277117
Horvath, D.. P., Stamm, M., Talukder, Z.. I., Fiedler, J., Horvath, A.. P., Horvath, G.. A., Chao, W.. S., Anderson, J.. V. (2020). A New Diversity Panel for Winter Rapeseed (Brassica napus L.) Genome-Wide Association Studies. Agronomy, 10(12), 2006. https://doi.org/10.3390/agronomy10122006
Howard-Varona, C., Lindback, M.. M., Bastien, G.. E., Solonenko, N., Zayed, A.. A., Jang, H., Andreopoulos, B., Brewer, H.. M., Glavina del Rio, T., Adkins, J.. N., Paul, S., Sullivan, M.. B., Duhaime, M.. B. (2020). Phage-specific metabolic reprogramming of virocells. The ISME Journal, 14(4), 881-895. https://doi.org/10.1038/s41396-019-0580-z
Hubbard, A., Bomhoff, M., Schmidt, C.. J. (2020). fRNAkenseq: a fully powered-by-CyVerse cloud integrated RNA-sequencing analysis tool. PeerJ, 8, e8592. https://doi.org/10.7717/peerj.8592
Jamnadass, R., Mumm, R.. H., Hale, I., Hendre, P., Muchugi, A., Dawson, I.. K., Powell, W., Graudal, L., Yana-Shapiro, H., Simons, A.. J., Van Deynze, A. (2020). Enhancing African orphan crops with genomics. Nature Genetics, 52(4), 356-360. https://doi.org/10.1038/s41588-020-0601-x
Jarvenpaa, S.. L., Markus, M.. L. (2020). Data Sourcing and Data Partnerships: Opportunities for IS Sourcing Research. Information Systems Outsourcing, 61-79.
Jennings, E., Elliot, T.. A., Thawait, N., Kanabar, S., Yam-Puc, J.. C., Ono, M., Toellner, K., Wraith, D.. C., Anderson, G., Bending, D. (2020). Nr4a1 and Nr4a3 Reporter Mice Are Differentially Sensitive to T Cell Receptor Signal Strength and Duration. Cell Reports, 33(5), 108328. https://doi.org/10.1016/j.celrep.2020.108328
Jin, X., Hou, Z., Zhao, L., Liu, L., Priyadarshani, S.. V.. G.. N., Wang, L., Huang, Y., Chen, F., Qin, Y. (2020). Genome-Wide Identification and Evaluation of New Reference Genes in Pineapple (Ananas comosus L.) during Stamen and Ovule Development. Tropical Plant Biology, 13(4), 371-381. https://doi.org/10.1007/s12042-020-09269-w
Joly-Lopez, Z., Platts, A.. E., Gulko, B., Choi, J.. Y., Groen, S.. C., Zhong, X., Siepel, A., Purugganan, M.. D. (2020). An inferred fitness consequence map of the rice genome. Nature Plants, 6(2), 119-130. https://doi.org/10.1038/s41477-019-0589-3
Jones, H.. G. (2020). What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora. AoB PLANTS, 12(6), plaa052. https://doi.org/10.1093/aobpla/plaa052
Joyce, E., Thiele, K., Slik, F., Crayn, D. (2020). Checklist of the vascular flora of the Sunda-Sahul Convergence Zone. Biodiversity Data Journal, 8, e51094. https://doi.org/10.3897/BDJ.8.e51094
Kabbani, O.. K. (2020). Investigating the Regulatory Targets of the WRKY75 Transcription Factor during Age-Associated Leaf Senescence in Arabidopsis thaliana. .
Kee, K.. F., Schrock, A.. R. (2020). Telephone interviewing as a qualitative methodology for researching cyberinfrastructure and virtual organizations. Second international handbook of internet research, 351-365.
Klesse, S., DeRose, R.. J., Babst, F., Black, B.. A., Anderegg, L.. D.. L., Axelson, J., Ettinger, A., Griesbauer, H., Guiterman, C.. H., Harley, G., Harvey, J.. E., Lo, Y., Lynch, A.. M., O'Connor, C., Restaino, C., Sauchyn, D., Shaw, J.. D., Smith, D.. J., Wood, L., Villanueva‐Díaz, J., Evans, M.. E.. K. (2020). Continental‐scale tree‐ring‐based projection of Douglas‐fir growth: Testing the limits of space‐for‐time substitution. Global Change Biology, 26(9), 5146-5163. https://doi.org/10.1111/gcb.15170
Knight, C.. A., Blois, J.. L., Blonder, B., Macias-Fauria, M., Ordonez, A., Svenning, J. (2020). Community assembly and climate mismatch in late quaternary eastern North American pollen assemblages. The American Naturalist, 195(2), 166–180.
Kramer, M.. C., Janssen, K.. A., Palos, K., Nelson, A.. D.. L., Vandivier, L.. E., Garcia, B.. A., Lyons, E., Beilstein, M.. A., Gregory, B.. D. (2020). N 6 ‐methyladenosine and RNA secondary structure affect transcript stability and protein abundance during systemic salt stress in Arabidopsis. Plant Direct, 4(7). https://doi.org/10.1002/pld3.239
Lambarey, H., Moola, N., Veenstra, A., Murray, S., Suhail Rafudeen, M. (2020). Transcriptomic Analysis of a Susceptible African Maize Line to Fusarium verticillioides Infection. Plants, 9(9), 1112. https://doi.org/10.3390/plants9091112
Lang, K., Stryeck, S., Bodruzic, D., Stepponat, M., Trajanoski, S., Winkler, U., Lindstaedt, S. (2020). CyVerse Austria—A Local, Collaborative Cyberinfrastructure. Mathematical and Computational Applications, 25(2), 38. https://doi.org/10.3390/mca25020038
Lemert, P.. H. (2020). Conservation of Dehydration Stress Memories Between Abiotic Stresses in Zea mays and the Characterization of Drought-Responsive Morphology in mop1-1 Mutants. .
Li, J., Demesyeux, L., Brym, M., Chambers, A.. H. (2020). Development of species-specific molecular markers in Vanilla for seedling selection of hybrids. Molecular Biology Reports, 47(3), 1905-1920. https://doi.org/10.1007/s11033-020-05287-9
Li, P., Gutiérrez, A.. M.. y., Davenport, K., Flynn, M., Hu, B., Lo, C., Jackson, E.. P., Shakya, M., Xu, Y., Gans, J., Chain, P.. S.. G. (2020). A Public Website for the Automated Assessment and Validation of SARS-CoV-2 Diagnostic PCR Assays. arXiv:2006.04566 [q-bio].
Liu, H., Zang, F., Wu, Q., Ma, Y., Zheng, Y., Zang, D. (2020). Genetic diversity and population structure of the endangered plant Salix taishanensis based on CDDP markers. Global Ecology and Conservation, 24, e01242. https://doi.org/10.1016/j.gecco.2020.e01242
Liu, J., Seetharam, A.. S., Chougule, K., Ou, S., Swentowsky, K.. W., Gent, J.. I., Llaca, V., Woodhouse, M.. R., Manchanda, N., Presting, G.. G., Kudrna, D.. A., Alabady, M., Hirsch, C.. N., Fengler, K.. A., Ware, D., Michael, T.. P., Hufford, M.. B., Dawe, R.. K. (2020). Gapless assembly of maize chromosomes using long read technologies. .
Liu, Y., Chai, M., Zhang, M., He, Q., Su, Z., Priyadarshani, S.. V.. G.. N., Liu, L., Dong, G., Qin, Y. (2020). Genome-Wide Analysis, Characterization, and Expression Profile of the Basic Leucine Zipper Transcription Factor Family in Pineapple. International Journal of Genomics, 2020, 1-14. https://doi.org/10.1155/2020/3165958
Luan, F., Zeng, J., Yang, Y., He, X., Wang, B., Gao, Y., Zeng, N. (2020). Recent advances in Camellia oleifera Abel: A review of nutritional constituents, biofunctional properties, and potential industrial applications. Journal of Functional Foods, 75, 104242. https://doi.org/10.1016/j.jff.2020.104242
Lutsik, P., Baude, A., Mancarella, D., Öz, S., Kühn, A., Toth, R., Hey, J., Toprak, U.. H., Lim, J., Nguyen, V.. H., Jiang, C., Mayakonda, A., Hartmann, M., Rosemann, F., Breuer, K., Vonficht, D., Grünschläger, F., Lee, S., Schuhmacher, M.. K., Kusevic, D., Jauch, A., Weichenhan, D., Zustin, J., Schlesner, M., Haas, S., Park, J.. H., Park, Y.. J., Oppermann, U., Jeltsch, A., Haller, F., Fellenberg, J., Lindroth, A.. M., Plass, C. (2020). Globally altered epigenetic landscape and delayed osteogenic differentiation in H3.3-G34W-mutant giant cell tumor of bone. Nature Communications, 11(1), 5414. https://doi.org/10.1038/s41467-020-18955-y
Malanson, G.. P., Virtanen, R., Britton, A.. J., Jiménez-Alfaro, B., Qian, H., Petraglia, A., Tomaselli, M., Cooper, D., Damm, C., Pemble, R.. H., others (2020). Hemispheric-and Continental-Scale Patterns of Similarity in Mountain Tundra. Annals of the American Association of Geographers, 110(4), 1005–1021.
Martinez, C.. C., Li, S., Woodhouse, M.. R., Sugimoto, K., Sinha, N.. R. (2020). Spatial transcriptional signatures define margin morphogenesis along the proximal–distal and medio-lateral axes in tomato ( Solanum lycopersicum ) leaves. The Plant Cell, koaa012. https://doi.org/10.1093/plcell/koaa012
Mayer, M., Hölker, A.. C., González-Segovia, E., Bauer, E., Presterl, T., Ouzunova, M., Melchinger, A.. E., Schön, C. (2020). Discovery of beneficial haplotypes for complex traits in maize landraces. Nature Communications, 11(1), 4954. https://doi.org/10.1038/s41467-020-18683-3
McArdle, D., Powers, J., Joyce, R.. A. (2020). Self-healing architecture for resilient computing services. .
McFarland, B.. A., AlKhalifah, N., Bohn, M., Bubert, J., Buckler, E.. S., Ciampitti, I., Edwards, J., Ertl, D., Gage, J.. L., Falcon, C.. M., Flint-Garcia, S., Gore, M.. A., Graham, C., Hirsch, C.. N., Holland, J.. B., Hood, E., Hooker, D., Jarquin, D., Kaeppler, S.. M., Knoll, J., Kruger, G., Lauter, N., Lee, E.. C., Lima, D.. C., Lorenz, A., Lynch, J.. P., McKay, J., Miller, N.. D., Moose, S.. P., Murray, S.. C., Nelson, R., Poudyal, C., Rocheford, T., Rodriguez, O., Romay, M.. C., Schnable, J.. C., Schnable, P.. S., Scully, B., Sekhon, R., Silverstein, K., Singh, M., Smith, M., Spalding, E.. P., Springer, N., Thelen, K., Thomison, P., Tuinstra, M., Wallace, J., Walls, R., Wills, D., Wisser, R.. J., Xu, W., Yeh, C., de Leon, N. (2020). Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets. BMC Research Notes, 13(1), 71. https://doi.org/10.1186/s13104-020-4922-8
Merritt, E.. F., Johnson, H.. J., Wong, Z.. S., Buntzman, A.. S., Conklin, A.. C., Cabral, C.. M., Romanoski, C.. E., Boyle, J.. P., Koshy, A.. A. (2020). Transcriptional Profiling Suggests T Cells Cluster around Neurons Injected with Toxoplasma gondii Proteins. mSphere, 5(5). https://doi.org/10.1128/mSphere.00538-20
Metegnier, G., Paulino, S., Ramond, P., Siano, R., Sourisseau, M., Destombe, C., Le Gac, M. (2020). Species specific gene expression dynamics during harmful algal blooms. Scientific Reports, 10(1), 6182. https://doi.org/10.1038/s41598-020-63326-8
Miao, C. (2020). Quantitative Genetics and Phonemics in Crops Using Statistical and Machine Learning Approaches. .
Miao, C., Xu, Y., Liu, S., Schnable, P.. S., Schnable, J.. C. (2020). Functional principal component based time-series genome-wide association in sorghum. .
Moon, K., Kim, S., Kang, I., Cho, J. (2020). Viral metagenomes of Lake Soyang, the largest freshwater lake in South Korea. Scientific Data, 7(1), 349. https://doi.org/10.1038/s41597-020-00695-9
Mukherjee, S. (2020). Quiescent stem cell marker genes in glioma gene networks are sufficient to distinguish between normal and glioblastoma (GBM) samples. Scientific Reports, 10(1), 10937. https://doi.org/10.1038/s41598-020-67753-5
Munson-McGee, J.. H., Rooney, C., Young, M.. J. (2020). An Uncultivated Virus Infecting a Nanoarchaeal Parasite in the Hot Springs of Yellowstone National Park. Journal of Virology, 94(3). https://doi.org/10.1128/JVI.01213-19
Mutte, S.. K. (2020). Evolutionary analysis of a billion years of auxin biology. .
Mutte, S., Weijers, D. (2020). High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets. BIO-PROTOCOL, 10(6). https://doi.org/10.21769/BioProtoc.3566
Navale, V., Ji, M., Vovk, O., Misquitta, L., Gebremichael, T., Garcia, A., Fann, Y., McAuliffe, M. (2020). Development of an informatics system for accelerating biomedical research.. F1000Research, 8, 1430. https://doi.org/10.12688/f1000research.19161.2
Neuefeind, C., Schildkamp, P., Mathiak, B., Karadkar, U., Stigler, J., Steiner, E., Vasold, G., Tosques, F., Ciula, A., Maher, B., Newton, G., Arneil, S., Holmes, M. (2020). Sustainability Strategies for Digital Humanities Systems. . https://doi.org/10.17613/NCDT-DN37
Neuefeind, C., Schildkamp, P., Mathiak, B., Karadkar, U., Stigler, J., Steiner, E., Vasold, G., Tosques, F., Ciula, A., Maher, B., others (2020). Sustainability Strategies for Digital Humanities Systems. https://dh2020. adho. org/.
Ng, A.. P., Coughlan, H.. D., Hediyeh-zadeh, S., Behrens, K., Johanson, T.. M., Low, M.. S.. Y., Bell, C.. C., Gilan, O., Chan, Y., Kueh, A.. J., Boudier, T., Feltham, R., Gabrielyan, A., DiRago, L., Hyland, C.. D., Ierino, H., Mifsud, S., Viney, E., Willson, T., Dawson, M.. A., Allan, R.. S., Herold, M.. J., Rogers, K., Tarlinton, D.. M., Smyth, G.. K., Davis, M.. J., Nutt, S.. L., Alexander, W.. S. (2020). An Erg-driven transcriptional program controls B cell lymphopoiesis. Nature Communications, 11(1), 3013. https://doi.org/10.1038/s41467-020-16828-y
Nguyen, M., Debroy, S., Calyam, P., Lyu, Z., Joshi, T. (2020). Security-aware Resource Brokering for Bioinformatics Workflows across Federated Multi-cloud Infrastructures. Proceedings of the 21st International Conference on Distributed Computing and Networking, 1-10. https://doi.org/10.1145/3369740.3369791
Panwar, P., Allen, M.. A., Williams, T.. J., Hancock, A.. M., Brazendale, S., Bevington, J., Roux, S., Páez-Espino, D., Nayfach, S., Berg, M., Schulz, F., Chen, I.. A., Huntemann, M., Shapiro, N., Kyrpides, N.. C., Woyke, T., Eloe-Fadrosh, E.. A., Cavicchioli, R. (2020). Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community. Microbiome, 8(1), 116. https://doi.org/10.1186/s40168-020-00889-8
Parry, G., Benitez-Alfonso, Y., Gibbs, D.. J., Grant, M., Harper, A., Harrison, C.. J., Kaiserli, E., Leonelli, S., May, S., McKim, S., Spoel, S., Turnbull, C., van der Hoorn, R.. A.. L., Murray, J. (2020). How to build an effective research network: lessons from two decades of the GARNet plant science community. Journal of Experimental Botany, 71(22), 6881-6889. https://doi.org/10.1093/jxb/eraa397
Patel, E. (2020). Characterization of Heavy Metal Resistance Genes from a Cryptic Plasmid of Pseudomonas B0623, Isolated from the Deep Subsurface of Savannah River, Ga. .
Pinho Morais, P.. P., Akdemir, D., Braatz de Andrade, L.. R., Jannink, J., Fritsche‐Neto, R., Borém, A., Couto Alves, F., Hottis Lyra, D., Granato, Í.. S.. C. (2020). Using public databases for genomic prediction of tropical maize lines. Plant Breeding, 139(4), 697-707. https://doi.org/10.1111/pbr.12827
Pistorius, J.. L., Martin, C., Sudarshan, S., LeBauer, D.. S. (2020). Exosphere -- Bringing The Cloud Closer. arXiv:2008.10640 [cs].
Pomerantz, M.. M., Qiu, X., Zhu, Y., Takeda, D.. Y., Pan, W., Baca, S.. C., Gusev, A., Korthauer, K.. D., Severson, T.. M., Ha, G., Viswanathan, S.. R., Seo, J., Nguyen, H.. M., Zhang, B., Pasaniuc, B., Giambartolomei, C., Alaiwi, S.. A., Bell, C.. A., O’Connor, E.. P., Chabot, M.. S., Stillman, D.. R., Lis, R., Font-Tello, A., Li, L., Cejas, P., Bergman, A.. M., Sanders, J., van der Poel, H.. G., Gayther, S.. A., Lawrenson, K., Fonseca, M.. A.. S., Reddy, J., Corona, R.. I., Martovetsky, G., Egan, B., Choueiri, T., Ellis, L., Garraway, I.. P., Lee, G.. M., Corey, E., Long, H.. W., Zwart, W., Freedman, M.. L. (2020). Prostate cancer reactivates developmental epigenomic programs during metastatic progression. Nature Genetics, 52(8), 790-799. https://doi.org/10.1038/s41588-020-0664-8
Ponsero, A., Bartelme, R., de Oliveira Almeida, G., Bigelow, A., Tuteja, R., Ellingson, H., Swetnam, T., Merchant, N., Oxnam, M., Lyons, E. (2020). Ten simple rules for organizing a data science workshop. PLOS Computational Biology, 16(10), e1008226. https://doi.org/10.1371/journal.pcbi.1008226
Psaltis, D., Medeiros, L., Christian, P., Özel, F., Akiyama, K., Alberdi, A., Alef, W., Asada, K., Azulay, R., Ball, D., Baloković, M., Barrett, J., Bintley, D., Blackburn, L., Boland, W., Bower, G.. C., Bremer, M., Brinkerink, C.. D., Brissenden, R., Britzen, S., Broguiere, D., Bronzwaer, T., Byun, D., Carlstrom, J.. E., Chael, A., Chan, C., Chatterjee, S., Chatterjee, K., Chen, M., Chen, Y., Cho, I., Conway, J.. E., Cordes, J.. M., Crew, G.. B., Cui, Y., Davelaar, J., De Laurentis, M., Deane, R., Dempsey, J., Desvignes, G., Dexter, J., Eatough, R.. P., Falcke, H., Fish, V.. L., Fomalont, E., Fraga-Encinas, R., Friberg, P., Fromm, C.. M., Gammie, C.. F., García, R., Gentaz, O., Goddi, C., Gómez, J.. L., Gu, M., Gurwell, M., Hada, K., Hesper, R., Ho, L.. C., Ho, P., Honma, M., Huang, C.. L., Huang, L., Hughes, D.. H., Inoue, M., Issaoun, S., James, D.. J., Jannuzi, B.. T., Janssen, M., Jiang, W., Jimenez-Rosales, A., Johnson, M.. D., Jorstad, S., Jung, T., Karami, M., Karuppusamy, R., Kawashima, T., Keating, G.. K., Kettenis, M., Kim, J., Kim, J., Kim, J., Kino, M., Koay, J.. Y., Koch, P.. M., Koyama, S., Kramer, M., Kramer, C., Krichbaum, T.. P., Kuo, C., Lauer, T.. R., Lee, S., Li, Y., Li, Z., Lindqvist, M., Lico, R., Liu, J., Liu, K., Liuzzo, E., Lo, W., Lobanov, A.. P., Lonsdale, C., Lu, R., Mao, J., Markoff, S., Marrone, D.. P., Marscher, A.. P., Martí-Vidal, I., Matsushita, S., Mizuno, Y., Mizuno, I., Moran, J.. M., Moriyama, K., Moscibrodzka, M., Müller, C., Musoke, G., Mus Mejías, A., Nagai, H., Nagar, N.. M., Narayan, R., Narayanan, G., Natarajan, I., Neri, R., Noutsos, A., Okino, H., Olivares, H., Oyama, T., Palumbo, D.. C., Park, J., Patel, N., Pen, U., Piétu, V., Plambeck, R., PopStefanija, A., Prather, B., Preciado-López, J.. A., Ramakrishnan, V., Rao, R., Rawlings, M.. G., Raymond, A.. W., Ripperda, B., Roelofs, F., Rogers, A., Ros, E., Rose, M., Roshanineshat, A., Rottmann, H., Roy, A.. L., Ruszczyk, C., Ryan, B.. R., Rygl, K.. L., Sánchez, S., Sánchez-Arguelles, D., Sasada, M., Savolainen, T., Schloerb, F.. P., Schuster, K., Shao, L., Shen, Z., Small, D., Sohn, B.. W., SooHoo, J., Tazaki, F., Tilanus, R.. P., Titus, M., Torne, P., Trent, T., Traianou, E., Trippe, S., van Bemmel, I., van Langevelde, H.. J., van Rossum, D.. R., Wagner, J., Wardle, J., Ward-Thompson, D., Weintroub, J., Wex, N., Wharton, R., Wielgus, M., Wong, G.. N., Wu, Q., Yoon, D., Young, A., Young, K., Younsi, Z., Yuan, F., Yuan, Y., Zhao, S., EHT Collaboration (2020). Gravitational Test beyond the First Post-Newtonian Order with the Shadow of the M87 Black Hole. Physical Review Letters, 125(14), 141104. https://doi.org/10.1103/PhysRevLett.125.141104
Reicher, A., Koren, A., Kubicek, S. (2020). Pooled protein tagging, cellular imaging, and in situ sequencing for monitoring drug action in real time. Genome Research, 30(12), 1846-1855. https://doi.org/10.1101/gr.261503.120
Richardson, M.. L. (2020). Identifying Novel Transcriptional Effectors of the Juvenile Hormone Pathway in Aedes aegypti. .
Risco-Martín, J.. L., Mittal, S., Ören, T.. I. (2020). Simulation for cyber-physical systems engineering: a cloud-based context. .
Rush, T.. A., Puech-Pagès, V., Bascaules, A., Jargeat, P., Maillet, F., Haouy, A., Maës, A.. Q., Carriel, C.. C., Khokhani, D., Keller-Pearson, M., Tannous, J., Cope, K.. R., Garcia, K., Maeda, J., Johnson, C., Kleven, B., Choudhury, Q.. J., Labbé, J., Swift, C., O’Malley, M.. A., Bok, J.. W., Cottaz, S., Fort, S., Poinsot, V., Sussman, M.. R., Lefort, C., Nett, J., Keller, N.. P., Bécard, G., Ané, J. (2020). Lipo-chitooligosaccharides as regulatory signals of fungal growth and development. Nature Communications, 11(1), 3897. https://doi.org/10.1038/s41467-020-17615-5
Ryder, E.. F., Morgan, W.. R., Sierk, M., Donovan, S.. S., Robertson, S.. D., Orndorf, H.. C., Rosenwald, A.. G., Triplett, E.. W., Dinsdale, E., Pauley, M.. A., Tapprich, W.. E. (2020). Incubators: Building community networks and developing open educational resources to integrate bioinformatics into life science education. Biochemistry and Molecular Biology Education, 48(4), 381-390. https://doi.org/10.1002/bmb.21387
Salungyu, J., Thaitad, S., Bucksch, A., Kengkanna, J., Saengwilai, P.. J. (2020). From lab to field: Open tools facilitating the translation of maize root traits. Field Crops Research, 255, 107872. https://doi.org/10.1016/j.fcr.2020.107872
Samal, A., Choudhury, S.. D. (2020). Intelligent Image Analysis for Plant Phenotyping. .
Sawyer, S., Snyder, J., Willis, M., Sharma, S., Østerlund, C., Allen, E. (2020). Stabilizing Digital Infrastructures in Distributed Social Science Collaboration. Fields of Practice and Applied Solutions within Distributed Team Cognition, 21–36.
Scarbrough, D. (2020). Identification and Characterization of Candidate Staphylococcus aureus Antigens for Inclusion in a Multivalent Bovine Mastitis Vaccine. .
Senapati, M., Dash, S.. S., Lenka, B., Panda, D. (2020). An Overview on Systems Biology Driven Plant Breeding. International Journal of Current Microbiology and Applied Sciences, 9(7), 1956-1964. https://doi.org/10.20546/ijcmas.2020.907.223
Sharma, M., Rajendrarao, S., Shahani, N., Ramírez-Jarquín, U.. N., Subramaniam, S. (2020). Cyclic GMP-AMP synthase promotes the inflammatory and autophagy responses in Huntington disease. Proceedings of the National Academy of Sciences, 117(27), 15989-15999. https://doi.org/10.1073/pnas.2002144117
Shaw, F., Etuk, A., Minotto, A., Gonzalez-Beltran, A., Johnson, D., Rocca-Serra, P., Laporte, M., Arnaud, E., Devare, M., Kersey, P., Sansone, S., Davey, R.. P. (2020). COPO: a metadata platform for brokering FAIR data in the life sciences. F1000Research, 9, 495. https://doi.org/10.12688/f1000research.23889.1
Shenton, M., Kobayashi, M., Terashima, S., Ohyanagi, H., Copetti, D., Hernández-Hernández, T., Zhang, J., Ohmido, N., Fujita, M., Toyoda, A., Ikawa, H., Fujiyama, A., Furuumi, H., Miyabayashi, T., Kubo, T., Kudrna, D., Wing, R., Yano, K., Nonomura, K., Sato, Y., Kurata, N. (2020). Evolution and diversity of the wild rice Oryza officinalis complex, across continents genome types, and ploidy levels. Genome Biology and Evolution, evaa037. https://doi.org/10.1093/gbe/evaa037
Sircar, S. (2020). Rice Stress Transcriptome Analysis–A Network Biology Approach. .
Stahlman, G.. R. (2020). Exploring the long tail of astronomy: A mixed-methods approach to searching for dark data. .
Staude, I.. R., Navarro, L.. M., Pereira, H.. M. (2020). Range size predicts the risk of local extinction from habitat loss. Global Ecology and Biogeography, 29(1), 16-25. https://doi.org/10.1111/geb.13003
Studstill, C.. J., Pritzl, C.. J., Seo, Y., Kim, D.. Y., Xia, C., Wolf, J.. J., Nistala, R., Vijayan, M., Cho, Y., Kang, K.. W., Lee, S., Hahm, B. (2020). Sphingosine kinase 2 restricts T cell immunopathology but permits viral persistence. Journal of Clinical Investigation, 130(12), 6523-6538. https://doi.org/10.1172/JCI125297
Taylor, L.. J., Abbas, A., Bushman, F.. D. (2020). grabseqs: simple downloading of reads and metadata from multiple next-generation sequencing data repositories. Bioinformatics, 36(11), 3607-3609. https://doi.org/10.1093/bioinformatics/btaa167
Tirado, S. (2020). Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches. .
Tirado, S.. B., St Dennis, S., Enders, T.. A., Springer, N.. M. (2020). Utilizing top-down hyperspectral imaging for monitoring genotype and growth conditions in maize. .
Tolosa, S.. B.. T. (2020). Characterizing the impact of genetic and environmental variation on maize utilizing phenomic approaches. .
Tsiola, A., Michoud, G., Fodelianakis, S., Karakassis, I., Kotoulas, G., Pavlidou, A., Pavloudi, C., Pitta, P., Simboura, N., Daffonchio, D., others (2020). Viral Metagenomic Content Reflects Seawater Ecological Quality in the Coastal Zone. Viruses, 12(8), 806.
Tucker, J.. S., Guess, T.. E., McClelland, E.. E. (2020). The Role of Testosterone and Gibberellic Acid in the Melanization of Cryptococcus neoformans. Frontiers in Microbiology, 11, 1921. https://doi.org/10.3389/fmicb.2020.01921
Tuttle, M.. J., Buchan, A. (2020). Lysogeny in the oceans: Lessons from cultivated model systems and a reanalysis of its prevalence. Environmental Microbiology, 22(12), 4919-4933. https://doi.org/10.1111/1462-2920.15233
Ude, G.. N., Igwe, D.. O., Brown, C., Jackson, M., Bangura, A., Ozokonkwo-Alor, O., Ihearahu, O.. C., Chosen, O., Okoro, M., Ene, C., Chieze, V., Unachukwu, M., Onyia, C., Acquaah, G., Ogbonna, J., Das, A. (2020). DNA barcoding for identification of fish species from freshwater in Enugu and Anambra States of Nigeria. Conservation Genetics Resources, 12(4), 643-658. https://doi.org/10.1007/s12686-020-01155-7
Van Dolah, F.. M., Morey, J.. S., Milne, S., Ung, A., Anderson, P.. E., Chinain, M. (2020). Transcriptomic analysis of polyketide synthases in a highly ciguatoxic dinoflagellate, Gambierdiscus polynesiensis and low toxicity Gambierdiscus pacificus, from French Polynesia. PLOS ONE, 15(4), e0231400. https://doi.org/10.1371/journal.pone.0231400
Vekaria, K., Calyam, P., Sivarathri, S.. S., Wang, S., Zhang, Y., Pandey, A., Chen, C., Xu, D., Joshi, T., Nair, S. (2020). Recommender‐as‐a‐service with chatbot guided domain‐science knowledge discovery in a science gateway. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.6080
Voichek, Y., Weigel, D. (2020). Identifying genetic variants underlying phenotypic variation in plants without complete genomes. Nature Genetics, 52(5), 534-540. https://doi.org/10.1038/s41588-020-0612-7
Von Suchodoletz, D., Bauer, J., Zharkov, O. (2020). Lessons learned from Virtualized Research Environments in today’s scientific compute infrastructures. E-Science-Tage 2019. https://doi.org/10.11588/HEIBOOKS.598.C8418
Wang, H., Soejima, A., Chang, K.. s., Ma, K. (2020). Mapping Asia Plants: Current status of floristic information for Northeast Asia. Global Ecology and Conservation, 24, e01321. https://doi.org/10.1016/j.gecco.2020.e01321
Wang, L., Zhang, X., Xu, S. (2020). Is salinity the main ecological factor that influences foliar nutrient resorption of desert plants in a hyper-arid environment?. BMC Plant Biology, 20(1), 461. https://doi.org/10.1186/s12870-020-02680-1
Wegrzyn, J.. L., Falk, T., Grau, E., Buehler, S., Ramnath, R., Herndon, N. (2020). Cyberinfrastructure and resources to enable an integrative approach to studying forest trees. Evolutionary Applications, 13(1), 228-241. https://doi.org/10.1111/eva.12860
Williamson, V. (2020). Biodiversity of Microscopic Green Algae from Desert Soil Crusts. .
Woodburn, M., Paul, D.. L., Addink, W., Baskauf, S.. J., Blum, S., Chapman, C., Grant, S., Groom, Q., Jones, J., Petersen, M., Raes, N., Smith, D., Tilley, L., Trekels, M., Trizna, M., Ulate, W., Vincent, S., Walls, R., Webbink, K., Zermoglio, P. (2020). Unity in Variety: Developing a collection description standard by consensus. Biodiversity Information Science and Standards, 4, e59233. https://doi.org/10.3897/biss.4.59233
Wright, A.. M., Schwartz, R.. S., Oaks, J.. R., Newman, C.. E., Flanagan, S.. P. (2020). The why, when, and how of computing in biology classrooms. F1000Research, 8, 1854. https://doi.org/10.12688/f1000research.20873.2
Wu, S., Zhou, L., Zhou, Y., Wang, H., Xiao, J., Yan, S., Wang, Y. (2020). Diverse and unique viruses discovered in the surface water of the East China Sea. BMC Genomics, 21(1), 441. https://doi.org/10.1186/s12864-020-06861-y
Xie, Y., Wu, F., Fang, X., Zhang, D., Zhang, W. (2020). Early Eocene southern China dominated by desert: Evidence from a palynological record of the Hengyang Basin, Hunan Province. Global and Planetary Change, 195, 103320. https://doi.org/10.1016/j.gloplacha.2020.103320
Yadav, C. (2020). Sociality in caterpillars: Investigations into the mechanisms associated with grouping behaviour, from vibroacoustics to sociogenomics. .
Yadav, C., Smith, M.. L., Yack, J.. E. (2020). Transcriptome analysis of a social caterpillar, Drepana arcuata: De novo assembly, functional annotation and developmental analysis. PLOS ONE, 15(6), e0234903. https://doi.org/10.1371/journal.pone.0234903
Yadav, C., Smith, M., Ogunremi, D., Yack, J. (2020). Draft genome assembly and annotation of the masked birch caterpillar, Drepana arcuata (Lepidoptera: Drepanoidea). Data in Brief, 33, 106531. https://doi.org/10.1016/j.dib.2020.106531
Yin, L., Zhang, H., Zhou, X., Yuan, X., Zhao, S., Li, X., Liu, X. (2020). KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters. Genome Biology, 21(1), 146. https://doi.org/10.1186/s13059-020-02052-w
Yu, X., Jiang, W., Tan, W., Zhang, X., Tian, X. (2020). Deciphering the organelle genomes and transcriptomes of a common ornamental plant Ligustrum quihoui reveals multiple fragments of transposable elements in the mitogenome. International Journal of Biological Macromolecules, 165, 1988-1999. https://doi.org/10.1016/j.ijbiomac.2020.10.075
Zeng, S., Skrabisova, M., Lyu, Z., Chan, Y.. O., Bilyeu, K., Joshi, T. (2020). SNPViz v2.0: A web-based tool for enhanced haplotype analysis using large scale resequencing datasets and discovery of phenotypes causative gene using allelic variations. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1408-1415. https://doi.org/10.1109/BIBM49941.2020.9313539
Zhang, J., Condon, L.. E., Tran, H., Maxwell, R.. M. (2020). A national topographic dataset for hydrological modeling overcontiguous United States. .
Zhang, R., Guo, Q., Kennelly, E.. J., Long, C., Chai, X. (2020). Diverse alkaloids and biological activities of Fumaria (Papaveraceae): An ethnomedicinal group. Fitoterapia, 146, 104697. https://doi.org/10.1016/j.fitote.2020.104697
Zhong, Z., Rapp, J.. Z., Wainaina, J.. M., Solonenko, N.. E., Maughan, H., Carpenter, S.. D., Cooper, Z.. S., Jang, H.. B., Bolduc, B., Deming, J.. W., Sullivan, M.. B., Berg, M. (2020). Viral Ecogenomics of Arctic Cryopeg Brine and Sea Ice. mSystems, 5(3). https://doi.org/10.1128/mSystems.00246-20
Zhong, Z., Solonenko, N.. E., Li, Y., Gazitúa, M.. C., Roux, S., Davis, M.. E., Van Etten, J.. L., Mosley-Thompson, E., Rich, V.. I., Sullivan, M.. B., Thompson, L.. G. (2020). Glacier ice archives fifteen-thousand-year-old viruses. .
Zurawski, J., Schopf, J., Addleman, H. (2020). University of Wisconsin-Madison Campus-Wide Deep Dive. , LBNL--2001325, 1631674, ark:/13030/qt99c4v5xh.
goyal, S., Purkayastha, S., Phillips, T., Quick, R., Britt, A. (2020). Enabling Secure and Effective Biomedical Data Sharing through Cyberinfrastructure Gateways. . https://doi.org/10.17605/OSF.IO/6Y8WG
2019
Anderson, S.. L., Murray, S.. C., Malambo, L., Ratcliff, C., Popescu, S., Cope, D., Chang, A., Jung, J., Thomasson, J.. A. (2019). Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems. The Plant Phenome Journal, 2(1), 1-15. https://doi.org/10.2135/tppj2019.02.0004
Arias, J.. D. (2019). Phylogenomic Framework of the Plant Family Acanthaceae. .
Arndt, D., Marcu, A., Liang, Y., Wishart, D.. S. (2019). PHAST, PHASTER and PHASTEST: Tools for finding prophage in bacterial genomes. Briefings in Bioinformatics, 20(4), 1560-1567. https://doi.org/10.1093/bib/bbx121
Baller, J., Kono, T., Herman, A., Zhang, Y. (2019). CHURP: A Lightweight CLI Framework to Enable Novice Users to Analyze Sequencing Datasets in Parallel. Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 1-5. https://doi.org/10.1145/3332186.3333156
Bao, Y., Zarecor, S., Shah, D., Tuel, T., Campbell, D.. A., Chapman, A.. V.. E., Imberti, D., Kiekhaefer, D., Imberti, H., Lübberstedt, T., Yin, Y., Nettleton, D., Lawrence-Dill, C.. J., Whitham, S.. A., Tang, L., Howell, S.. H. (2019). Assessing plant performance in the Enviratron. Plant Methods, 15(1), 117. https://doi.org/10.1186/s13007-019-0504-y
Beedessee, G., Hisata, K., Roy, M.. C., Van Dolah, F.. M., Satoh, N., Shoguchi, E. (2019). Diversified secondary metabolite biosynthesis gene repertoire revealed in symbiotic dinoflagellates. Scientific Reports, 9(1), 1204. https://doi.org/10.1038/s41598-018-37792-0
Bertioli, D.. J., Jenkins, J., Clevenger, J., Dudchenko, O., Gao, D., Seijo, G., Leal-Bertioli, S.. C.. M., Ren, L., Farmer, A.. D., Pandey, M.. K., Samoluk, S.. S., Abernathy, B., Agarwal, G., Ballén-Taborda, C., Cameron, C., Campbell, J., Chavarro, C., Chitikineni, A., Chu, Y., Dash, S., El Baidouri, M., Guo, B., Huang, W., Kim, K.. D., Korani, W., Lanciano, S., Lui, C.. G., Mirouze, M., Moretzsohn, M.. C., Pham, M., Shin, J.. H., Shirasawa, K., Sinharoy, S., Sreedasyam, A., Weeks, N.. T., Zhang, X., Zheng, Z., Sun, Z., Froenicke, L., Aiden, E.. L., Michelmore, R., Varshney, R.. K., Holbrook, C.. C., Cannon, E.. K.. S., Scheffler, B.. E., Grimwood, J., Ozias-Akins, P., Cannon, S.. B., Jackson, S.. A., Schmutz, J. (2019). The genome sequence of segmental allotetraploid peanut Arachis hypogaea. Nature Genetics, 51(5), 877-884. https://doi.org/10.1038/s41588-019-0405-z
Bhat, N.. N., Padder, B.. A., Barthelson, R.. A., Andrabi, K.. I. (2019). Compendium of Colletotrichum graminicola responsive infection-induced transcriptomic shifts in the maize. Plant Gene, 17, 100166. https://doi.org/10.1016/j.plgene.2018.11.001
Bin Jang, H., Bolduc, B., Zablocki, O., Kuhn, J.. H., Roux, S., Adriaenssens, E.. M., Brister, J.. R., Kropinski, A.. M., Krupovic, M., Lavigne, R., Turner, D., Sullivan, M.. B. (2019). Taxonomic assignment of uncultivated prokaryotic virus genomes is enabled by gene-sharing networks. Nature Biotechnology, 37(6), 632-639. https://doi.org/10.1038/s41587-019-0100-8
Bischoff, V., Bunk, B., Meier-Kolthoff, J.. P., Spröer, C., Poehlein, A., Dogs, M., Nguyen, M., Petersen, J., Daniel, R., Overmann, J., Göker, M., Simon, M., Brinkhoff, T., Moraru, C. (2019). Cobaviruses – a new globally distributed phage group infecting Rhodobacteraceae in marine ecosystems. The ISME Journal, 13(6), 1404-1421. https://doi.org/10.1038/s41396-019-0362-7
Bokros, N., Popescu, S.. C., Popescu, G.. V. (2019). Multispecies genome-wide analysis defines the MAP3K gene family in Gossypium hirsutum and reveals conserved family expansions. BMC Bioinformatics, 20(S2), 99. https://doi.org/10.1186/s12859-019-2624-9
Bolger, A.. M., Poorter, H., Dumschott, K., Bolger, M.. E., Arend, D., Osorio, S., Gundlach, H., Mayer, K.. F.. X., Lange, M., Scholz, U., Usadel, B. (2019). Computational aspects underlying genome to phenome analysis in plants. The Plant Journal, 97(1), 182-198. https://doi.org/10.1111/tpj.14179
Brahmstedt, E.. S., Zhou, H., Eggleston, E.. M., Holsen, T.. M., Twiss, M.. R. (2019). Assessment of mercury mobilization potential in Upper St. Lawrence River riparian wetlands under new water level regulation management. Journal of Great Lakes Research, 45(4), 735-741. https://doi.org/10.1016/j.jglr.2019.03.001
Brenskelle, L., Stucky, B.. J., Deck, J., Walls, R., Guralnick, R.. P. (2019). Integrating herbarium specimen observations into global phenology data systems. Applications in Plant Sciences, 7(3). https://doi.org/10.1002/aps3.1231
Buoso, S., Pagliari, L., Musetti, R., Martini, M., Marroni, F., Schmidt, W., Santi, S. (2019). ‘Candidatus Phytoplasma solani’ interferes with the distribution and uptake of iron in tomato. BMC Genomics, 20(1), 703. https://doi.org/10.1186/s12864-019-6062-x
Busatto, N., Farneti, B., Tadiello, A., Oberkofler, V., Cellini, A., Biasioli, F., Delledonne, M., Cestaro, A., Noutsos, C., Costa, F. (2019). Wide transcriptional investigation unravel novel insights of the on-tree maturation and postharvest ripening of ‘Abate Fetel’ pear fruit. Horticulture Research, 6(1), 32. https://doi.org/10.1038/s41438-018-0115-1
Cai, H., Zhang, M., Liu, Y., He, Q., Chai, M., Liu, L., Chen, F., Huang, Y., Yan, M., Zhao, H., Hu, J., Qin, Y. (2019). Genome-Wide Classification and Evolutionary and Functional Analyses of the VQ Family. Tropical Plant Biology, 12(2), 117-131. https://doi.org/10.1007/s12042-019-09224-4
Calegari, P., Levrier, M., Balczyński, P. (2019). Web Portals for High-performance Computing: A Survey. ACM Transactions on the Web, 13(1), 1-36. https://doi.org/10.1145/3197385
Calkins, T.. L., Tamborindeguy, C., Pietrantonio, P.. V. (2019). GPCR annotation, G proteins, and transcriptomics of fire ant (Solenopsis invicta) queen and worker brain: An improved view of signaling in an invasive superorganism. General and Comparative Endocrinology, 278, 89-103. https://doi.org/10.1016/j.ygcen.2018.12.008
Carpenter, E.. J., Matasci, N., Ayyampalayam, S., Wu, S., Sun, J., Yu, J., Jimenez Vieira, F.. R., Bowler, C., Dorrell, R.. G., Gitzendanner, M.. A., Li, L., Du, W., K. Ullrich, K., Wickett, N.. J., Barkmann, T.. J., Barker, M.. S., Leebens-Mack, J.. H., Wong, G.. K. (2019). Access to RNA-sequencing data from 1,173 plant species: The 1000 Plant transcriptomes initiative (1KP). GigaScience, 8(10), giz126. https://doi.org/10.1093/gigascience/giz126
Castillo, A.. I., Nelson, A.. D.. L., Lyons, E. (2019). Tail Wags the Dog? Functional Gene Classes Driving Genome-Wide GC Content in Plasmodium spp.. Genome Biology and Evolution, 11(2), 497-507. https://doi.org/10.1093/gbe/evz015
Castillo, Y.. M., Mangot, J., Benites, L.. F., Logares, R., Kuronishi, M., Ogata, H., Jaillon, O., Massana, R., Sebastián, M., Vaqué, D. (2019). Assessing the viral content of uncultured picoeukaryotes in the global‐ocean by single cell genomics. Molecular Ecology, 28(18), 4272-4289. https://doi.org/10.1111/mec.15210
Chiovitti, A., Thorpe, F., Gorman, C., Cuxson, J.. L., Robevska, G., Szwed, C., Duncan, J.. C., Vanyai, H.. K., Cross, J., Siemering, K.. R., Sumner, J. (2019). A citizen science model for implementing statewide educational DNA barcoding. PLOS ONE, 14(1), e0208604. https://doi.org/10.1371/journal.pone.0208604
Choi, B.. L., Ponsero, A.. J., Bomhoff, M., Youens-Clark, K., Hartman, J.. H., Hurwitz (2019). Libra: scalable k- mer–based tool for massive all-vs-all metagenome comparisons. , 8(2). https://doi.org/10.1093/gigascience/giy165
Choi, H. (2019). Translational genomics and multi-omics integrated approaches as a useful strategy for crop breeding. Genes & Genomics, 41(2), 133-146. https://doi.org/10.1007/s13258-018-0751-8
Choi, W., Barker, R.. J., Kim, S., Swanson, S.. J., Gilroy, S. (2019). Variation in the transcriptome of different ecotypes of Arabidopsis thaliana reveals signatures of oxidative stress in plant responses to spaceflight. American Journal of Botany, 106(1), 123-136. https://doi.org/10.1002/ajb2.1223
Cleveland, S.. B., McLean, J.. H., Rotzoll, K., Izuka, S.. K., Jacobs, G.. A. (2019). Enabling Real-Time User Interaction For Decision Support: Experiences Extending A Local Agave Platform Metadata Service. Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 1-6. https://doi.org/10.1145/3332186.3332252
Cohen, J.. I. (2019). The conservation genomics of the endangered distylous gypsophile Oreocarya crassipes (Boraginaceae). Conservation Genetics, 20(6), 1315-1328. https://doi.org/10.1007/s10592-019-01212-1
Coley, P.. D., Endara, M., Ghabash, G., Kidner, C.. A., Nicholls, J.. A., Pennington, R.. T., Mills, A.. G., Soule, A.. J., Lemes, M.. R., Stone, G.. N., Kursar, T.. A. (2019). Macroevolutionary patterns in overexpression of tyrosine: An anti‐herbivore defence in a speciose tropical tree genus, Inga (Fabaceae). Journal of Ecology, 107(4), 1620-1632. https://doi.org/10.1111/1365-2745.13208
Colle, M., Leisner, C.. P., Wai, C.. M., Ou, S., Bird, K.. A., Wang, J., Wisecaver, J.. H., Yocca, A.. E., Alger, E.. I., Tang, H., Xiong, Z., Callow, P., Ben-Zvi, G., Brodt, A., Baruch, K., Swale, T., Shiue, L., Song, G., Childs, K.. L., Schilmiller, A., Vorsa, N., Buell, C.. R., VanBuren, R., Jiang, N., Edger, P.. P. (2019). Haplotype-phased genome and evolution of phytonutrient pathways of tetraploid blueberry. GigaScience, 8(3). https://doi.org/10.1093/gigascience/giz012
Crimmins, M.. A., Crimmins, T.. M. (2019). Does an Early Spring Indicate an Early Summer? Relationships Between Intraseasonal Growing Degree Day Thresholds. Journal of Geophysical Research: Biogeosciences, 124(8), 2628-2641. https://doi.org/10.1029/2019JG005297
Crimmins, T.. M., Crimmins, M.. A. (2019). Biologically‐Relevant Trends in Springtime Temperatures Across the United States. Geophysical Research Letters, 46(21), 12377-12387. https://doi.org/10.1029/2019GL085251
Daly, R.. A., Roux, S., Borton, M.. A., Morgan, D.. M., Johnston, M.. D., Booker, A.. E., Hoyt, D.. W., Meulia, T., Wolfe, R.. A., Hanson, A.. J., Mouser, P.. J., Moore, J.. D., Wunch, K., Sullivan, M.. B., Wrighton, K.. C., Wilkins, M.. J. (2019). Viruses control dominant bacteria colonizing the terrestrial deep biosphere after hydraulic fracturing. Nature Microbiology, 4(2), 352-361. https://doi.org/10.1038/s41564-018-0312-6
Danczak, R.. E., Johnston, M.. D., Kenah, C., Slattery, M., Wilkins, M.. J. (2019). Capability for arsenic mobilization in groundwater is distributed across broad phylogenetic lineages. PLOS ONE, 14(9), e0221694. https://doi.org/10.1371/journal.pone.0221694
Das, A., Bucksch, A., Weitz, J.. S. (2019). Infrastructure for managing and analyzing biological networks derived from collections of plant images [Poster]. .
De Ron, A., Álvarez-García, S., Casquero, P., Carro-Huelga, G., Gutiérrez, S., Lorenzana, A., Mayo-Prieto, S., Rodríguez-González, A., Suárez-Villanueva, V., Rodiño, A., others (2019). Common bean genetics, breeding, and genomics for adaptation to changing to new agri-environmental conditions. Genomic Designing of Climate-Smart Pulse Crops, 1–106.
Deaton, J., Yu, F.. B., Quake, S.. R. (2019). Mini‐Metagenomics and Nucleotide Composition Aid the Identification and Host Association of Novel Bacteriophage Sequences. Advanced Biosystems, 3(11), 1900108. https://doi.org/10.1002/adbi.201900108
Debeljak, P., Toulza, E., Beier, S., Blain, S., Obernosterer, I. (2019). Microbial iron metabolism as revealed by gene expression profiles in contrasted Southern Ocean regimes. Environmental Microbiology, 21(7), 2360-2374. https://doi.org/10.1111/1462-2920.14621
Deelman, E., Vahi, K., Rynge, M., Mayani, R., da Silva, R.. F., Papadimitriou, G., Livny, M. (2019). The Evolution of the Pegasus Workflow Management Software. Computing in Science & Engineering, 21(4), 22-36. https://doi.org/10.1109/MCSE.2019.2919690
Dobrin, B. (2019). Aspects of Phylogenetic Inference: Missing Data and Rate Variation. .
Dovrolis, N., Kolios, G., Spyrou, G.. M., Maroulakou, I. (2019). Computational profiling of the gut–brain axis: microflora dysbiosis insights to neurological disorders. Briefings in Bioinformatics, 20(3), 825-841. https://doi.org/10.1093/bib/bbx154
Duong, D.. A., Espinosa-Artiles, P., Orozco, R.. A., Molnár, I., Stock, S.. P. (2019). Draft Genome Assembly of the Entomopathogenic Bacterium Photorhabdus luminescens subsp. sonorensis Caborca. Microbiology Resource Announcements, 8(36). https://doi.org/10.1128/MRA.00692-19
D’Agostino, D., Roverelli, L., Zereik, G., La Rocca, G., De Luca, A., Salvaterra, R., Belfiore, A., Lisini, G., Novara, G., Tiengo, A. (2019). A science gateway for Exploring the X-ray Transient and variable sky using EGI Federated Cloud. Future Generation Computer Systems, 94, 868-878. https://doi.org/10.1016/j.future.2017.12.028
Edger, P.. P., Poorten, T.. J., VanBuren, R., Hardigan, M.. A., Colle, M., McKain, M.. R., Smith, R.. D., Teresi, S.. J., Nelson, A.. D.. L., Wai, C.. M., Alger, E.. I., Bird, K.. A., Yocca, A.. E., Pumplin, N., Ou, S., Ben-Zvi, G., Brodt, A., Baruch, K., Swale, T., Shiue, L., Acharya, C.. B., Cole, G.. S., Mower, J.. P., Childs, K.. L., Jiang, N., Lyons, E., Freeling, M., Puzey, J.. R., Knapp, S.. J. (2019). Origin and evolution of the octoploid strawberry genome. Nature Genetics, 51(3), 541-547. https://doi.org/10.1038/s41588-019-0356-4
Enke, R.. A., Rahmani-Mofrad, M. (2019). Genomics RNA-seq Analysis part 1-CyVerse DE, FastQC, Trimmomatic (updated 11/17). .
Esteva, M., Walls, R.. L., Magill, A.. B., Xu, W., Huang, R., Carson, J., Song, J. (2019). Identifier Services: Modeling and Implementing Distributed Data Management in Cyberinfrastructure. Data and Information Management, 3(1), 26–39.
Feehan, S. (2019). A Prototype Citizen-Science Microplastics Sampling Protocol to Quantify the Magnitude of Pollution Along a Community Beachfront. .
Feng, Z., Hou, J., Yu, Y., Wu, W., Deng, Y., Wang, X., Zhi, H., Zhang, L., Wu, W., Guo, D. (2019). Dissecting the Metabolic Phenotype of the Antihypertensive Effects of Five Uncaria Species on Spontaneously Hypertensive Rats. Frontiers in Pharmacology, 10, 845. https://doi.org/10.3389/fphar.2019.00845
Fernandez-Perez, A., Sathe, A.. A., Bhakta, M., Leggett, K., Xing, C., Munshi, N.. V. (2019). Hand2 Selectively Reorganizes Chromatin Accessibility to Induce Pacemaker-like Transcriptional Reprogramming. Cell Reports, 27(8), 2354-2369.e7. https://doi.org/10.1016/j.celrep.2019.04.077
Ferreira da Silva, R., Orgerie, A., Casanova, H., Tanaka, R., Deelman, E., Suter, F. (2019). Accurately Simulating Energy Consumption of I/O-Intensive Scientific Workflows. , 138–152.
Furler, R.. L., Ali, A., Yang, O.. O., Nixon, D.. F. (2019). Nef-induced differential gene expression in primary CD4+ T cells following infection with HIV-1 isolates. Virus Genes, 55(4), 541-544. https://doi.org/10.1007/s11262-019-01670-2
Gardiner, L., Joynson, R., Hall, A. (2019). Next-Generation Sequencing Enabled Genetics in Hexaploid Wheat. Applications of Genetic and Genomic Research in Cereals, 49–63.
Gardiner, L., Joynson, R., Hall, A. (2019). Next-Generation Sequencing Enabled Genetics in Hexaploid Wheat. Applications of Genetic and Genomic Research in Cereals, 49–63. https://doi.org/10.1016/B978-0-08-102163-7.00003-X
Gesing, S., Dahan, M., Zentner, M., Wilkins-Diehr, N., Lawrence, K. (2019). The Science Gateways Community Institute: Collaborations and efforts on international scale. Future Generation Computer Systems, 101, 951-958. https://doi.org/10.1016/j.future.2019.07.024
Gill, A., Blackburn, L., Roshanineshat, A., Chan, C., Doeleman, S.. S., Johnson, M.. D., Raymond, A.. W., Weintroub, J. (2019). Prospects for Wideband VLBI Correlation in the Cloud. Publications of the Astronomical Society of the Pacific, 131(1006), 124501. https://doi.org/10.1088/1538-3873/ab32a8
Gillan, J.. K. (2019). Rangeland Inventory and Monitoring with Unmanned Aerial System Imagery. .
Gillan, J.. K., McClaran, M.. P., Swetnam, T.. L., Heilman, P. (2019). Estimating Forage Utilization with Drone-Based Photogrammetric Point Clouds. Rangeland Ecology & Management, 72(4), 575-585. https://doi.org/10.1016/j.rama.2019.02.009
Groom, Q., Desmet, P., Reyserhove, L., Adriaens, T., Oldoni, D., Vanderhoeven, S., Baskauf, S.. J., Chapman, A., McGeoch, M., Walls, R., others (2019). Improving Darwin Core for research and management of alien species. .
Gruenstaeudl, M., Hartmaring, Y. (2019). EMBL2checklists: A Python package to facilitate the user-friendly submission of plant and fungal DNA barcoding sequences to ENA. PLOS ONE, 14(1), e0210347. https://doi.org/10.1371/journal.pone.0210347
Hendre, P.. S., Muthemba, S., Kariba, R., Muchugi, A., Fu, Y., Chang, Y., Song, B., Liu, H., Liu, M., Liao, X., Sahu, S.. K., Wang, S., Li, L., Lu, H., Peng, S., Cheng, S., Xu, X., Yang, H., Wang, J., Liu, X., Simons, A., Shapiro, H., Mumm, R.. H., Van Deynze, A., Jamnadass, R. (2019). African Orphan Crops Consortium (AOCC): status of developing genomic resources for African orphan crops. Planta, 250(3), 989-1003. https://doi.org/10.1007/s00425-019-03156-9
Hollebecq, J., Bosquet, L.. C., David, R., Quidoz, M., Tardieu, F., Tireau, A., Neveu, P. (2019). Identification of objects with Uniform Resource Identifier (URI): recommendations for application in plant phenotyping. .
Horvath, D.. P., Clay, S.. A., Bruggeman, S.. A., Anderson, J.. V., Chao, W.. S., Yeater, K. (2019). Varying weed densities alter the corn transcriptome, highlighting a core set of weed-induced genes and processes with potential for manipulating weed tolerance. The Plant Genome, 12(3).
Huang, Y., Zhou, N., Yang, M., Shen, Y., Zhang, D. (2019). A comparative study of the population genetics of wild and cultivated populations of Paris polyphylla var. yunnanensis based on amplified fragment length polymorphism markers. Ecology and Evolution, 9(18), 10707-10722. https://doi.org/10.1002/ece3.5589
Hudson, K.. M., Belcher, S.. M., Cowley, M. (2019). Maternal cadmium exposure in the mouse leads to increased heart weight at birth and programs susceptibility to hypertension in adulthood. Scientific Reports, 9(1), 13553. https://doi.org/10.1038/s41598-019-49807-5
Jang, H.. B., Bolduc, B., Zablocki, O., Kuhn, J., Roux, S., Adriaenssens, E., Brister, J.. R., Kropinski, A., Krupovic, M., Turner, D., Sullivan, M. (2019). Gene sharing networks to automate genome-based prokaryotic viral taxonomy. bioRxiv, 533240. https://doi.org/10.1101/533240
Jantzen, J.. R., Whitten, W.. M., Neubig, K.. M., Majure, L.. C., Soltis, D.. E., Soltis, P.. S. (2019). Effects of taxon sampling and tree reconstruction methods on phylodiversity metrics. Ecology and Evolution, 9(17), 9479-9499. https://doi.org/10.1002/ece3.5425
Kalidindi, S.. R., Khosravani, A., Yucel, B., Shanker, A., Blekh, A.. L. (2019). Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATIN. Integrating Materials and Manufacturing Innovation, 8(4), 441-454. https://doi.org/10.1007/s40192-019-00156-1
Kalyanam, R., Zhao, L., Song, C., Biehl, L., Kearney, D., Kim, I.. L., Shin, J., Villoria, N., Merwade, V. (2019). MyGeoHub—A sustainable and evolving geospatial science gateway. Future Generation Computer Systems, 94, 820-832. https://doi.org/10.1016/j.future.2018.02.005
Kengkanna, J., Jakaew, P., Amawan, S., Busener, N., Bucksch, A., Saengwilai, P. (2019). Phenotypic variation of cassava root traits and their responses to drought. Applications in Plant Sciences, 7(4). https://doi.org/10.1002/aps3.1238
Khangura, R.. S., Marla, S., Venkata, B.. P., Heller, N.. J., Johal, G.. S., Dilkes, B.. P. (2019). A Very Oil Yellow1 Modifier of the Oil Yellow1-N1989 Allele Uncovers a Cryptic Phenotypic Impact of Cis-regulatory Variation in Maize.. G3 (Bethesda, Md.), 9(2), 375–390. https://doi.org/10.1534/g3.118.200798
Kong, H.. G., Kim, H.. H., Chung, J., Jun, J., Lee, S., Kim, H., Jeon, S., Park, S.. G., Bhak, J., Ryu, C. (2019). The Galleria mellonella Hologenome Supports Microbiota-Independent Metabolism of Long-Chain Hydrocarbon Beeswax. Cell Reports, 26(9), 2451-2464.e5. https://doi.org/10.1016/j.celrep.2019.02.018
Koutouleas, A., Jørgen Lyngs Jørgensen, H., Jensen, B., Lillesø, J.. B., Junge, A., Ræbild, A. (2019). On the hunt for the alternate host of Hemileia vastatrix. Ecology and Evolution, 9(23), 13619-13631. https://doi.org/10.1002/ece3.5755
Krueger, R.. W. (2019). A Survey of the Vascular Flora of Adams County, North Dakota. .
LeFebvre, M.. J., Brenskelle, L., Wieczorek, J., Kansa, S.. W., Kansa, E.. C., Wallis, N.. J., King, J.. N., Emery, K.. F., Guralnick, R. (2019). ZooArchNet: Connecting zooarchaeological specimens to the biodiversity and archaeology data networks. PLOS ONE, 14(4), e0215369. https://doi.org/10.1371/journal.pone.0215369
Leebens-Mack, J.. H., Barker, M.. S., Carpenter, E.. J., Deyholos, M.. K., Gitzendanner, M.. A., Graham, S.. W., Grosse, I., Li, Z., Melkonian, M., Mirarab, S., others (2019). One thousand plant transcriptomes and the phylogenomics of green plants. .
Leung, B., Hudgins, E.. J., Potapova, A., Ruiz‐Jaen, M.. C. (2019). A new baseline for countrywide α‐diversity and species distributions: illustration using >6,000 plant species in Panama. Ecological Applications, 29(3). https://doi.org/10.1002/eap.1866
Ley-López, J., González, J., Hanson, P. (2019). Plants and gall hosts of the Tirimbina Biological Reserve, Sarapiqui, Costa Rica: Combining field sampling with herbarium records. Revista de Biología Tropical, 67(2 SUPL), S212–S227. https://doi.org/10.15517/rbt.v67i2supl.37233
Lien, M.. R., Barker, R.. J., Ye, Z., Westphall, M.. H., Gao, R., Singh, A., Gilroy, S., Townsend, P.. A. (2019). A low-cost and open-source platform for automated imaging. Plant Methods, 15(1), 6. https://doi.org/10.1186/s13007-019-0392-1
Liu, Y., Sargent, L., Leung, W., Elgin, S.. C.. R., Goecks, J. (2019). G-OnRamp: a Galaxy-based platform for collaborative annotation of eukaryotic genomes. Bioinformatics, 35(21), 4422-4423. https://doi.org/10.1093/bioinformatics/btz309
Liu, Z.. Y., Moxley, J.. H., Kanive, P., Gleiss, A.. C., Maughan, T., Bird, L., Jewell, O.. J.. D., Chapple, T.. K., Gagne, T., White, C.. F., Jorgensen, S.. J. (2019). Deep learning accurately predicts white shark locomotor activity from depth data. Animal Biotelemetry, 7(1), 14. https://doi.org/10.1186/s40317-019-0175-5
Ljungberg, M.. C., Sadi, M., Wang, Y., Aronow, B.. J., Xu, Y., Kao, R.. J., Liu, Y., Gaddis, N., Ardini-Poleske, M.. E., Umrod, T., Ambalavanan, N., Nicola, T., Kaminski, N., Ahangari, F., Sontag, R., Corley, R.. A., Ansong, C., Carson, J.. P. (2019). Spatial distribution of marker gene activity in the mouse lung during alveolarization. Data in Brief, 22, 365-372. https://doi.org/10.1016/j.dib.2018.10.150
Luis, J.. M.. S. (2019). Sexual Reproduction and Enhancing the Efficacy of Biocontrol of Aflatoxin Contamination by Aspergillus flavus. .
Lunde, C., Kimberlin, A., Leiboff, S., Koo, A.. J., Hake, S. (2019). Tasselseed5 overexpresses a wound-inducible enzyme, ZmCYP94B1, that affects jasmonate catabolism, sex determination, and plant architecture in maize. Communications Biology, 2(1), 114. https://doi.org/10.1038/s42003-019-0354-1
Macías-Duarte, A., Conway, C.. J., Holroyd, G.. L., Valdez-Gómez, H.. E., Culver, M. (2019). Genetic Variation among Island and Continental Populations of Burrowing Owl (Athene cunicularia) Subspecies in North America. Journal of Raptor Research, 53(2), 127. https://doi.org/10.3356/JRR-18-00002
Mahalingam, R. (2019). Analysis of the Barley Malt Rootlet Proteome. International Journal of Molecular Sciences, 21(1), 179. https://doi.org/10.3390/ijms21010179
Martinez, D. (2019). Identifying chromosomal regions associated with glucocorticoid-regulated gene transcription. .
McCord, B.. R., Gauthier, Q., Cho, S., Roig, M.. N., Gibson-Daw, G.. C., Young, B., Taglia, F., Zapico, S.. C., Mariot, R.. F., Lee, S.. B., Duncan, G. (2019). Forensic DNA Analysis. Analytical Chemistry, 91(1), 673-688. https://doi.org/10.1021/acs.analchem.8b05318
McFadden, I.. R., Sandel, B., Tsirogiannis, C., Morueta‐Holme, N., Svenning, J., Enquist, B.. J., Kraft, N.. J. (2019). Temperature shapes opposing latitudinal gradients of plant taxonomic and phylogenetic β diversity. Ecology Letters, 22(7), 1126-1135. https://doi.org/10.1111/ele.13269
McLean, J.. H., Cleveland, S.. B., Rotzoll, K., Izuka, S.. K., Leigh, J., Jacobs, G., Theriot, R. (2019). The ‘Ike Wai Hawai ‘i Groundwater Recharge Tool. Proc. Gateways, San Diego, CA, USA.
Mejía-Guerra, M.. K., Buckler, E.. S. (2019). A k-mer grammar analysis to uncover maize regulatory architecture. BMC Plant Biology, 19(1), 103. https://doi.org/10.1186/s12870-019-1693-2
Metzger, S., Ayres, E., Durden, D., Florian, C., Lee, R., Lunch, C., Luo, H., Pingintha-Durden, N., Roberti, J.. A., SanClements, M., Sturtevant, C., Xu, K., Zulueta, R.. C. (2019). From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online. Bulletin of the American Meteorological Society, 100(11), 2305-2325. https://doi.org/10.1175/BAMS-D-17-0307.1
Mondal, A.. K., Roy, B., Schneider, K.. A. (2019). An Exploratory Study on Automatic Architectural Change Analysis Using Natural Language Processing Techniques. 2019 19th International Working Conference on Source Code Analysis and Manipulation (SCAM), 62-73. https://doi.org/10.1109/SCAM.2019.00016
Monson, M.. S., Van Goor, A.. G., Persia, M.. E., Rothschild, M.. F., Schmidt, C.. J., Lamont, S.. J. (2019). Genetic lines respond uniquely within the chicken thymic transcriptome to acute heat stress and low dose lipopolysaccharide. Scientific Reports, 9(1), 13649. https://doi.org/10.1038/s41598-019-50051-0
Morera, A.. A., Ahmed, N.. S., Schwartz, J.. C. (2019). TDP-43 regulates transcription at protein-coding genes and Alu retrotransposons. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, 1862(10), 194434. https://doi.org/10.1016/j.bbagrm.2019.194434
Naithani, S., Gupta, P., Preece, J., D’Eustachio, P., Elser, J.. L., Garg, P., Dikeman, D.. A., Kiff, J., Cook, J., Olson, A., Wei, S., Tello-Ruiz, M.. K., Mundo, A.. F., Munoz-Pomer, A., Mohammed, S., Cheng, T., Bolton, E., Papatheodorou, I., Stein, L., Ware, D., Jaiswal, P. (2019). Plant Reactome: a knowledgebase and resource for comparative pathway analysis. Nucleic Acids Research, gkz996. https://doi.org/10.1093/nar/gkz996
Naithani, S., Gupta, P., Preece, J., Garg, P., Fraser, V., Padgitt-Cobb, L.. K., Martin, M., Vining, K., Jaiswal, P. (2019). Involving community in genes and pathway curation. Database, 2019. https://doi.org/10.1093/database/bay146
Navale, V., Ji, M., Vovk, O., Misquitta, L., Gebremichael, T., Garcia, A., Fann, Y., McAuliffe, M. (2019). Development of an informatics system for accelerating biomedical research.. F1000Research, 8, 1430. https://doi.org/10.12688/f1000research.19161.1
Necer, A., Tadjine, A., Belouahem-Abed, D., Saoudi, M. (2019). Vegetation heterogeneity of black alder forests in and around El-Kala Biosphere Reserve, northeastern Algeria. Botanical Sciences, 97(1), 13. https://doi.org/10.17129/botsci.1982
Nelson, A.. D.. L., Ponciano, G., McMahan, C., Ilut, D.. C., Pugh, N.. A., Elshikha, D.. E., Hunsaker, D.. J., Pauli, D. (2019). Transcriptomic and evolutionary analysis of the mechanisms by which P. argentatum, a rubber producing perennial, responds to drought. BMC Plant Biology, 19(1), 494. https://doi.org/10.1186/s12870-019-2106-2
Ng, W.. L., Wu, W., Zou, P., Zhou, R. (2019). Comparative transcriptomics sheds light on differential adaptation and species diversification between two Melastoma species and their F1 hybrid. AoB PLANTS, 11(2). https://doi.org/10.1093/aobpla/plz019
Nguyen, M., Debroy, S., Calyam, P., Lyu, Z., Joshi, T. (2019). Multi-Cloud Performance and Security-driven Brokering for Bioinformatics Workflows. 2019 IEEE 27th International Conference on Network Protocols (ICNP), 1-2. https://doi.org/10.1109/ICNP.2019.8888071
Nixon, S.. L., Daly, R.. A., Borton, M.. A., Solden, L.. M., Welch, S.. A., Cole, D.. R., Mouser, P.. J., Wilkins, M.. J., Wrighton, K.. C. (2019). Genome-Resolved Metagenomics Extends the Environmental Distribution of the Verrucomicrobia Phylum to the Deep Terrestrial Subsurface. mSphere, 4(6). https://doi.org/10.1128/mSphere.00613-19
Nkukwana, T. (2019). Global poultry production: Current impact and future outlook on the South African poultry industry. South African Journal of Animal Science, 48(5), 869. https://doi.org/10.4314/sajas.v48i5.7
O'Mullane, W., Gaffney, N., Economou, F., Smith, A.. M., Thomson, J.. R., Jenness, T. (2019). The demise of the filesystem and multi level service architecture. arXiv:1907.13060 [astro-ph], 2021-09-07 22:03:43.
Oktavia, D., Jin, G. (2019). Species-habitat association affects demographic variation across different life stages in an old-growth temperate forest. Perspectives in Plant Ecology, Evolution and Systematics, 40, 125482. https://doi.org/10.1016/j.ppees.2019.125482
Oliver, J.. C., Kollen, C., Hickson, B., Rios, F. (2019). Data Science Support at the Academic Library. Journal of Library Administration, 59(3), 241–257. https://doi.org/10.1080/01930826.2019.1583015
Onyia, C., Obih, C.. E., Ilo, P.. O., Ojiego, B.. O., Iwu, V.. C., Yohanna, S., Bamidele, O.. S., Amasiorah, V.. I., Rowaiye, A.. B., Kolawole, G.. J. (2019). A new approach to protection and conservation of cites-listed species: DNA barcoding of parrots in Nigeria. Journal of Biodiversity & Endangered Species, 7(2), 1–4.
Palagi, J.. M., Ashley, M.. V. (2019). Deer Florivory Is Associated with Changes in Clonal Structure of the Woodland Plant Bluebead Lily. International Journal of Plant Sciences, 180(5), 357-365. https://doi.org/10.1086/702861
Pandey, A., Wang, S., Calyam, P. (2019). Data-intensive Workflow Execution using Distributed Compute Resources. 2019 IEEE 27th International Conference on Network Protocols (ICNP), 1–2.
Paniagua-Ugarte, C.. Y. (2019). Using DNA Barcoding to Identify Carcasses from Bird-window Collisions at Radford University Claudia Y. Paniagua-Ugarte, Karen E. Powers", and Robert R. Sheehy. Banisteria, Virginia Natural History Society, 53(22-26).
Park, I.. W., Mazer, S.. J. (2019). Climate affects the rate at which species successively flower: Capturing an emergent property of regional floras. Global Ecology and Biogeography, geb.12916. https://doi.org/10.1111/geb.12916
Parvathaneni, R.. K., Bertolini, E., Shamimuzzaman, M., Vera, D., Lung, P., Rice, B.. R., Zhang, J., Brown, P.. J., Lipka, A.. E., Bass, H.. W., Eveland, A.. L. (2019). The regulatory landscape of early maize inflorescence development. .
Parveen, A. (2019). Chasing the Genetics of Ascites in Broilers Using Whole Genome Resequencing. .
Patterson, E.. L., Saski, C., Küpper, A., Beffa, R., Gaines, T.. A. (2019). Omics Potential in Herbicide-Resistant Weed Management. Plants, 8(12), 607. https://doi.org/10.3390/plants8120607
Pearson, K.. D. (2019). Spring- and fall-flowering species show diverging phenological responses to climate in the Southeast USA. International Journal of Biometeorology, 63(4), 481-492. https://doi.org/10.1007/s00484-019-01679-0
Penfold, C.. A., Gherman, I., Sybirna, A., Wild, D.. L. (2019). Inferring Gene Regulatory Networks from Multiple Datasets. Gene Regulatory Networks, 251–282.
Peterson, A.. L., Miller, N.. D., Payseur, B.. A. (2019). Conservation of the genome-wide recombination rate in white-footed mice. Heredity, 123(4), 442-457. https://doi.org/10.1038/s41437-019-0252-9
Phillips, J., Ramirez, S., Wayson, C., Duque, A. (2019). Differences in carbon stocks along an elevational gradient in tropical mountain forests of Colombia. Biotropica, 51(4), 490-499. https://doi.org/10.1111/btp.12675
Porth, O., Chatterjee, K., Narayan, R., Gammie, C.. F., Mizuno, Y., Anninos, P., Baker, J.. G., Bugli, M., Chan, C., Davelaar, J., others (2019). The event horizon general relativistic magnetohydrodynamic code comparison project. The Astrophysical Journal Supplement Series, 243(2), 26.
Powell, J., Stubbs, J., Cleveland, S., Pierce, S., Daniels, M. (2019). Streamed data via cloud-hosted real-time data services for the geosciences as an ingestion interface into the planet Texas science gateway and integrated modeling platform. Proceedings of Science Gateways, 2019, 2019.
Prenger, E.. M., Ostezan, A., Mian, M.. A.. R., Stupar, R.. M., Glenn, T., Li, Z. (2019). Identification and characterization of a fast-neutron-induced mutant with elevated seed protein content in soybean. Theoretical and Applied Genetics, 132(11), 2965-2983. https://doi.org/10.1007/s00122-019-03399-w
Priyadarshan, P.. M. (2019). Plant breeding: classical to modern. .
Qiao, P. (2019). Pattern Recognition in the Developing Maize Leaf Epidermis: Gene Network Analyses and Machine Learning Approaches. .
Raborn, R.. T., Brendel, V.. P. (2019). Using RAMPAGE to identify and annotate promoters in insect genomes. Insect Genomics, 99–116.
Raborn, V.. P., Brendel (2019). Using RAMPAGE to Identify and Annotate Promoters in Insect Genomes. , 1858, 99-116.
Ramos‐Barbero, M.. D., Martínez, J.. M., Almansa, C., Rodríguez, N., Villamor, J., Gomariz, M., Escudero, C., Rubin, S.. d., Antón, J., Martínez‐García, M., Amils, R. (2019). Prokaryotic and viral community structure in the singular chaotropic salt lake Salar de Uyuni. Environmental Microbiology, 21(6), 2029-2042. https://doi.org/10.1111/1462-2920.14549
Rapacciuolo, G., Blois, J.. L. (2019). Understanding ecological change across large spatial, temporal and taxonomic scales: integrating data and methods in light of theory. Ecography, ecog.04616. https://doi.org/10.1111/ecog.04616
Rosenberg, J., Coronel, J.. B., Meiring, J., Gray, S., Brown, T. (2019). Leveraging Elasticsearch to Improve Data Discoverability in Science Gateways. Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 1-5. https://doi.org/10.1145/3332186.3332230
Roy, S. (2019). Delta Dynamics: Understanding Process, Pattern, and People Using Remote Sensing and Systems Analysis in Coastal Louisiana and Amazon River Delta. .
Sankoff, D., Zheng, C., Zhang, Y., Meidanis, J., Lyons, E., Tang, H. (2019). Models for Similarity Distributions of Syntenic Homologs and Applications to Phylogenomics. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(3), 727-737. https://doi.org/10.1109/TCBB.2018.2849377
Santana de Carvalho, D. (2019). An Integrated Genomics And Phenomics Approach To Study The Evolution Of C4 Photosynthesis. .
Saptari, R.. T., Susila, H. (2019). Data mining study of hormone biosynthesis gene expression reveals new aspects of somatic embryogenesis regulation. In Vitro Cellular & Developmental Biology - Plant, 55(2), 139-152. https://doi.org/10.1007/s11627-018-9947-5
Schneider, M.. V., Griffin, P.. C., Tyagi, S., Flannery, M., Dayalan, S., Gladman, S., Watson-Haigh, N., Bayer, P.. E., Charleston, M., Cooke, I., Cook, R., Edwards, R.. J., Edwards, D., Gorse, D., McConville, M., Powell, D., Wilkins, M.. R., Lonie, A. (2019). Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia. Briefings in Bioinformatics, 20(2), 384-389. https://doi.org/10.1093/bib/bbx071
Schumacker, S.. T., Chidester, C.. A., Enke, R.. A., Marcello, M.. R. (2019). RNA sequencing dataset characterizing transcriptomic responses to dietary changes in Caenorhabditis elegans. Data in Brief, 25, 104006. https://doi.org/10.1016/j.dib.2019.104006
Shi, Y., Xu, H., Shen, Q., Lin, J., Wang, Y., Hua, X., Yao, W., Yu, Q., Ming, R., Zhang, J. (2019). Comparative Analysis of SUS Gene Family between Saccharum officinarum and Saccharum spontaneum. Tropical Plant Biology, 12(3), 174-185. https://doi.org/10.1007/s12042-019-09230-6
Smith, A.. R. (2019). Dissection of Floral Organ Development and Sterility in Sorghum Bicolor. .
Sousa, F., Foster, P.. G., Donoghue, P.. C.. J., Schneider, H., Cox, C.. J. (2019). Nuclear protein phylogenies support the monophyly of the three bryophyte groups (Bryophyta Schimp.). New Phytologist, 222(1), 565-575. https://doi.org/10.1111/nph.15587
Sternberger, A.. L., Wyatt, S.. E. (2019). DNA Detective: Genotype to Phenotype. A Bioinformatics Workshop for Middle School to College. CourseSource, 6. https://doi.org/10.24918/cs.2019.34
Stewart, C.. A., Apon, A., Hancock, D.. Y., Furlani, T., Sill, A., Wernert, J., Lifka, D., Berente, N., Cheatham, T., Slavin, S.. D. (2019). Assessment of non-financial returns on cyberinfrastructure: A survey of current methods. Proceedings of the Humans in the Loop: Enabling and Facilitating Research on Cloud Computing, 1-10. https://doi.org/10.1145/3355738.3355749
Stoltzfus, R.. A., Rosenberg, M., Lapp, H., Budd, A., Cranston, K., Pontelli, E., Oliver, S., Vos (2019). Community and Code: Nine Lessons from Nine NESCent Hackathons. (786). https://doi.org/10.12688/f1000research.11429.1
Stucky, B., Balhoff, J., Barve, N., Barve, V., Brenskelle, L., Brush, M., Dahlem, G., Gilbert, J., Kawahara, A., Keller, O., Lucky, A., Mayhew, P., Plotkin, D., Seltmann, K., Talamas, E., Vaidya, G., Walls, R., Yoder, M., Zhang, G., Guralnick, R. (2019). Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions. Biodiversity Data Journal, 7, e33303. https://doi.org/10.3897/BDJ.7.e33303
Stucky, B., Deck, J., Walls, R., Guralnick, R. (2019). From Field Observations and Plant Specimens to a Trans-continental Knowledge Base: Efficient, semantically rich integration of highly heterogeneous plant phenological data. Biodiversity Information Science and Standards, 3, e37614. https://doi.org/10.3897/biss.3.37614
Subramanian, R., Zhang, H. (2019). Parallel Framework for Data-Intensive Computing with XSEDE. Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 1-8. https://doi.org/10.1145/3332186.3338097
Susla, M., Pasichnyk, R., Pasichnyk, N., Melnyk, A., Shcherbiak, I., Akimjak, A. (2019). Principles of Building a Mathematical Model for the Influence of Mineral Fertilizers on Grain Yield. 2019 9th International Conference on Advanced Computer Information Technologies (ACIT), 145-148. https://doi.org/10.1109/ACITT.2019.8780093
Suzuki, Y., Nishijima, S., Furuta, Y., Yoshimura, J., Suda, W., Oshima, K., Hattori, M., Morishita, S. (2019). Long-read metagenomic exploration of extrachromosomal mobile genetic elements in the human gut. Microbiome, 7(1), 119. https://doi.org/10.1186/s40168-019-0737-z
Syrett, C.. M., Paneru, B., Sandoval-Heglund, D., Wang, J., Banerjee, S., Sindhava, V., Behrens, E.. M., Atchison, M., Anguera, M.. C. (2019). Altered X-chromosome inactivation in T cells may promote sex-biased autoimmune diseases. JCI Insight, 4(7), e126751. https://doi.org/10.1172/jci.insight.126751
Tran, M.. H., Yu, K., Park, J. (2019). Tar-filled shells and tar balls on the Alabama Gulf coast host distinctive bacterial communities. BIOS, 90(2), 122. https://doi.org/10.1893/0005-3155-90.2.122
Trubl, G., Roux, S., Solonenko, N., Li, Y., Bolduc, B., Rodríguez-Ramos, J., Eloe-Fadrosh, E.. A., Rich, V.. I., Sullivan, M.. B. (2019). Towards optimized viral metagenomes for double-stranded and single-stranded DNA viruses from challenging soils. . https://doi.org/10.7287/peerj.preprints.27640v1
Ude, G.. N., Igwe, D.. O., McCormick, J., Ozokonkwo-Alor, O., Harper, J., Ballah, D., Aninweze, C., Chosen, O., Okoro, M., Ene, C., Chieze, V., Unachukwu, M., Onyia, C., Acquaah, G., Ogbonna, J., Das, A. (2019). Genetic Diversity and DNA Barcoding of Yam Accessions from Southern Nigeria. American Journal of Plant Sciences, 10(1), 179-207. https://doi.org/10.4236/ajps.2019.101015
Van Goethem, M.. W., Swenson, T.. L., Trubl, G., Roux, S., Northen, T.. R. (2019). Characteristics of Wetting-Induced Bacteriophage Blooms in Biological Soil Crust. mBio, 10(6). https://doi.org/10.1128/mBio.02287-19
Van Norman, K.. E. (2019). A survey of the vascular flora of Black Hawk County, Iowa. .
Verdier, J.. M. (2019). Joanne S. Tornow: Advancing Opportunities for Convergence. BioScience, 69(8), 594-601. https://doi.org/10.1093/biosci/biz068
Via, A., Attwood, T.. K., Fernandes, P.. L., Morgan, S.. L., Schneider, M.. V., Palagi, P.. M., Rustici, G., Tractenberg, R.. E. (2019). A new pan-European Train-the-Trainer programme for bioinformatics: pilot results on feasibility, utility and sustainability of learning. Briefings in Bioinformatics, 20(2), 405-415. https://doi.org/10.1093/bib/bbx112
Wai, C.. M., Weise, S.. E., Ozersky, P., Mockler, T.. C., Michael, T.. P., VanBuren, R. (2019). Time of day and network reprogramming during drought induced CAM photosynthesis in Sedum album. PLOS Genetics, 15(6), e1008209. https://doi.org/10.1371/journal.pgen.1008209
Walls, R.. L., Cooper, L., Elser, J., Gandolfo, M.. A., Mungall, C.. J., Smith, B., Stevenson, D.. W., Jaiswal, P. (2019). The Plant Ontology Facilitates Comparisons of Plant Development Stages Across Species. Frontiers in Plant Science, 10, 631. https://doi.org/10.3389/fpls.2019.00631
Wang, C., Jiang, S., Zhang, L., Li, D., Liang, J., Narita, Y., Hou, I., Zhong, Q., Gewurz, B.. E., Teng, M., Zhao, B. (2019). TAF Family Proteins and MEF2C Are Essential for Epstein-Barr Virus Super-Enhancer Activity. Journal of Virology, 93(16). https://doi.org/10.1128/JVI.00513-19
Wang, R., Gangola, M.. P., Irvine, C., Gaur, P.. M., Båga, M., Chibbar, R.. N. (2019). Co-localization of genomic regions associated with seed morphology and composition in a desi chickpea (Cicer arietinum L.) population varying in seed protein concentration. Theoretical and Applied Genetics, 132(4), 1263-1281. https://doi.org/10.1007/s00122-019-03277-5
Wiens, J.. J., Camacho, A., Goldberg, A., Jezkova, T., Kaplan, M.. E., Lambert, S.. M., Miller, E.. C., Streicher, J.. W., Walls, R.. L. (2019). Climate change, extinction, and Sky Island biogeography in a montane lizard. Molecular Ecology, 28(10), 2610-2624. https://doi.org/10.1111/mec.15073
Wright, A.. M., Schwartz, R.. S., Oaks, J.. R., Newman, C.. E., Flanagan, S.. P. (2019). The why, when, and how of computing in biology classrooms. F1000Research, 8, 1854. https://doi.org/10.12688/f1000research.20873.1
Xiao, H., Li, C., Al Rwahnih, M., Dolja, V., Meng, B. (2019). Metagenomic Analysis of Riesling Grapevine Reveals a Complex Virome Including Two New and Divergent Variants of Grapevine leafroll-associated virus 3. Plant Disease, 103(6), 1275-1285. https://doi.org/10.1094/PDIS-09-18-1503-RE
Xie, X., Kropinski, A.. M., Tapscott, B., Weese, J.. S., Turner, P.. V. (2019). Prevalence of fecal viruses and bacteriophage in Canadian farmed mink ( Neovison vison ). MicrobiologyOpen, 8(1), e00622. https://doi.org/10.1002/mbo3.622
Xu, W., Gupta, A., Jaiswal, P., Taylor, C., Lockhart, P., Regala, J. (2019). Improving publication pipeline with automated biological entity detection and validation service. Data and Information Management, 3(1), 3–17.
Yan, Y., Tang, Z. (2019). Protecting endemic seed plants on the Tibetan Plateau under future climate change: migration matters. Journal of Plant Ecology, 12(6), 962-971. https://doi.org/10.1093/jpe/rtz032
Youens-Clark, C. (2019). iMicrobe: Tools and Data-Driven Discovery Platform for the Microbiome Sciences. .
Youens-Clark, K., Bomhoff, M., Ponsero, A.. J., Wood-Charlson, E.. M., Lynch, J., Choi, I., Hartman, J.. H., Hurwitz, B.. L. (2019). iMicrobe: Tools and data-driven discovery platform for the microbiome sciences. GigaScience, 8(7), giz083.
Youens-Clark, b.. C.. K. (2019). iMicrobe: Tools and Data-Driven Discovery Platform for the Microbiome Sciences. .
Zeng, S., Lyu, Z., Narisetti, S.. R.. K., Xu, D., Joshi, T. (2019). Knowledge Base Commons (KBCommons) v1.1: a universal framework for multi-omics data integration and biological discoveries. BMC Genomics, 20(S11), 947. https://doi.org/10.1186/s12864-019-6287-8
Zhang, Q. (2019). Data Analysis of ChIP-Seq Experiments: Common Practice and Recent Developments. Computational Epigenetics and Diseases, 67–77. https://doi.org/10.1016/B978-0-12-814513-5.00005-2
Zhang, Q. (2019). Chapter 5 - Data Analysis of ChIP-Seq Experiments: Common Practice and Recent Developments. Computational Epigenetics and Diseases, 9, 67-77.
Čerekovič, N., Fatnassi, N., Santino, A., Poltronieri, P. (2019). Differences in Physiological, Biochemical, and Molecular Mechanisms of Water Stress Tolerance in Chickpea Varieties. .
Čerekovič, P., Fatnassi, N., Santino, A., Poltronieri (2019). Differences in Physiological, Biochemical, and Molecular Mechanisms of Water Stress Tolerance in Chickpea Varieties. .
Šímová, I., Sandel, B., Enquist, B.. J., Michaletz, S.. T., Kattge, J., Violle, C., McGill, B.. J., Blonder, B., Engemann, K., Peet, R.. K., Wiser, S.. K., Morueta‐Holme, N., Boyle, B., Kraft, N.. J.. B., Svenning, J. (2019). The relationship of woody plant size and leaf nutrient content to large‐scale productivity for forests across the Americas. Journal of Ecology, 107(5), 2278-2290. https://doi.org/10.1111/1365-2745.13163
2018
Afgan, N., Lonie, A., Taylor, J., Goonasekera (2018). CloudLaunch: Discover and Deploy Cloud Applications. .
Ahmed, H., Santos, K.. C.. G.. d., Sanchez, I.. B., Petre, B., Lorrain, C., Plourde, M.. B., Duplessis, S., Desgagné-Penix, I., Germain (2018). A rust fungal effector binds plant DNA and modulates transcription. , 8(1), 14718. https://doi.org/10.1038/s41598-018-32825-0
AlKhalifah, C.. J., Campbell, D.. A., Falcon, C.. M., Gardiner, J.. M., Miller, N.. D., Romay, M.. C., Walls, R., Walton, R., Yeh, C., Bohn, M., Bubert, J., Buckler, E.. S., Ciampitti, I., Flint-Garcia, S., Gore, M.. A., Graham, C., Hirsch, C., Holland, J.. B., Hooker, D., Kaeppler, S., Knoll, J., Lauter, N., Lee, E.. C., Lorenz, A., Lynch, J.. P., Moose, S.. P., Murray, S.. C., Nelson, R., Rocheford, T., Rodriguez, O., Schnable, J.. C., Scully, B., Smith, M., Springer, N., Thomison, P., Tuinstra, M., Wisser, R.. J., Xu, W., Ertl, D., Schnable, P.. S., De Leon, N., Spalding, E.. P., Edwards, J., Lawrence-Dill (2018). Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. , 11(1), 452. https://doi.org/10.1186/s13104-018-3508-1
Antequera, T., Calyam, P., Debroy, S., Cui, L., Seetharam, S., Dickinson, M., Joshi, T., Xu, D., Beyene (2018). ADON: Application-Driven Overlay Network-as-a-Service for Data-Intensive Science. , 6(3), 640-655. https://doi.org/10.1109/TCC.2015.2511753
Atallah, J.. A., Vitek, O., Gaiti, F., Tanurdzic, M., Banks (2018). Sex Determination in Ceratopteris richardii Is Accompanied by Transcriptome Changes That Drive Epigenetic Reprogramming of the Young Gametophyte. , 8(7), 2205-2214. https://doi.org/10.1534/g3.118.200292
Ayella, M.. R., Beck (2018). A course-based undergraduate research experience investigating the consequences of nonconserved mutations in lactate dehydrogenase: CURE Investigating the Consequences of Non-conserved Mutations in LDH. , 46(3), 285-296. https://doi.org/10.1002/bmb.21115
Bagley, J.. C., Heming, N.. M., Gutiérrez, E.. E., Devisetty, U.. K., Mock, K.. E., Eckert, A.. J., Strauss, S.. H. (2018). Genotyping-by-sequencing and ecological niche modeling illuminate phylogeography, admixture, and Pleistocene range dynamics in quaking aspen (Populus tremuloides). . https://doi.org/10.7287/peerj.preprints.27162v1
Bagley, S.. H., Heming, N.. M., Gutiérrez, E.. E., Devisetty, U.. K., Mock, K.. E., Eckert, A.. J., Strauss (2018). Genotyping-by-sequencing and ecological niche modeling illuminate phylogeography, admixture, and Pleistocene range dynamics in quaking aspen ( Populus tremuloides ). .
Baker, S.. S. (2018). Using DNA Barcoding To Identify Duckweed Species as Part of an Undergraduate Ecology Course. , 1276, 67-79.
Beardsley, J.. M., Gropp, R.. E., Verdier (2018). Addressing Biological Informatics Workforce Needs: A Report from the AIBS Council. . https://doi.org/10.1093/biosci/biy116
Beckman, R., Bullock, J.. M., Salguero-Gómez (2018). High dispersal ability is related to fast life-history strategies. , 106(4), 1349-1362. https://doi.org/10.1111/1365-2745.12989
Bertolini, E., Pè, M.. E., Mica (2018). Transcriptional and Posttranscriptional Regulation of Drought Stress Treatments in Brachypodium Leaves. , 1667, 21-29.
Boggess, E.. E. (2018). Methods for analysis of derivative strains from metabolic evolution experiments. .
Borton, J.. M., others, M.. A., Hoyt, D.. W., Roux, S., Daly, R.. A., Welch, S.. A., Nicora, C.. D., Purvine, S., Eder, E.. K., Hanson, A.. J., Sheets (2018). Coupled laboratory and field investigations resolve microbial interactions that underpin persistence in hydraulically fractured shales. , 115(28), E6585–E6594.
Breen, B., McKee, S., Riedel, B., Stidd, J., Truong, L., Vukotic, I., Bryant, L., Carcassi, G., Chen, J., Gardner, R.. W., Harden, R., Izdimirski, M., Killen, R., Kulbertis (2018). Building the SLATE Platform. , 7-Jan. https://doi.org/10.1145/3219104.3219144
Brown, S.. B., Campbell, J.. D., Assefa, T., Grant, D., Nelson, R.. T., Weeks, N.. T., Cannon (2018). Ten quick tips for sharing open genomic data. , 14(12), e1006472. https://doi.org/10.1371/journal.pcbi.1006472
Bruno-Barcena, J.. M., ESPINOSA, W.. J.. S., Chinn, M.. S. (2018). Systems and methods of carbon fixation using solventogenic clostridium beijerinckii. .
Budnick, C.. C., Sheehan, L.. M., Kang, L., Michalak, P., Caswell (2018). Characterization of Three Small Proteins in Brucella abortus Linked to Fucose Utilization. , 200(18), e00127-18, /jb/200/18/e00127-18.atom. https://doi.org/10.1128/JB.00127-18
Calkins, P.. V., Chen, M., Arora, A.. K., Hawkings, C., Tamborindeguy, C., Pietrantonio (2018). Brain gene expression analyses in virgin and mated queens of fire ants reveal mating-independent and socially regulated changes. , 8(8), 4312-4327. https://doi.org/10.1002/ece3.3976
Chapa, M.. X. (2018). A Cyberinfrastructure Plat Form for the Modeling and Optimization of Biomass Logistics. .
Chougule, D., Wang, L., Stein, J.. C., Wang, X., Devisetty, U.. K., Klein, R.. R., Ware (2018). Improved RNA-seq Workflows Using CyVerse Cyberinfrastructure. , 63(1), e53. https://doi.org/10.1002/cpbi.53
Cleveland, G.. A., Dooley, R., Perry, D., Stubbs, J., Fonner, J.. M., Jacobs (2018). Building Science Gateway Infrastructure in the Middle of the Pacific and Beyond: Experiences using the Agave Deployer and Agave Platform to Build Science Gateways. , 8-Jan. https://doi.org/10.1145/3219104.3219151
Concia, L., Brooks, A.. M., Wheeler, E., Zynda, G.. J., Wear, E.. E., LeBlanc, C., Song, J., Lee, T., Pascuzzi, P.. E., Martienssen, R.. A., Vaughn, M.. W., Thompson, W.. F., Hanley-Bowdoin (2018). Genome-Wide Analysis of the Arabidopsis Replication Timing Program. , 176(3), 2166-2185. https://doi.org/10.1104/pp.17.01537
Cooper, P., Meier, A., Laporte, M., Elser, J.. L., Mungall, C., Sinn, B.. T., Cavaliere, D., Carbon, S., Dunn, N.. A., Smith, B., Qu, B., Preece, J., Zhang, E., Todorovic, S., Gkoutos, G., Doonan, J.. H., Stevenson, D.. W., Arnaud, E., Jaiswal (2018). The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. , 46(D1), D1168-D1180. https://doi.org/10.1093/nar/gkx1152
Corrie, F., Marthandan, N., Zimonja, B., Jaglale, J., Zhou, Y., Barr, E., Knoetze, N., Breden, F.. M.. W., Christley, S., Scott, J.. K., Cowell, L.. G., Breden (2018). iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories. , 284(1), 24-41. https://doi.org/10.1111/imr.12666
Cox, R., Lehnert, K., Klump, J., Wyborn, L., Walls (2018). Specimen Identifiers in Related Disciplines: What can Biodiversity Learn from and Offer to Other Fields?. , 2, e26615. https://doi.org/10.3897/biss.2.26615
Dalcin Martins, M.. J., Danczak, R.. E., Roux, S., Frank, J., Borton, M.. A., Wolfe, R.. A., Burris, M.. N., Wilkins (2018). Viral and metabolic controls on high rates of microbial sulfur and carbon cycling in wetland ecosystems. , 6(1), 138. https://doi.org/10.1186/s40168-018-0522-4
Das, D.. L., Vraspir, L., Zhou, W., Durica, D.. S., Mykles (2018). Transcriptomic analysis of differentially expressed genes in the molting gland (Y-organ) of the blackback land crab, Gecarcinus lateralis, during molt-cycle stage transitions. , 28, 37-53. https://doi.org/10.1016/j.cbd.2018.06.001
Davies, N., Deck, J., Ram, K., Walls, R., Williams, R. (2018). Blockchain-enabled Data Trusts for Futuromics Research. American Geophysical Union, Fall Meeting 2018, abstract #IN53A-08.
Davies, R., Williams (2018). Blockchain-enabled Data Trusts for Futuromics Research. , IN53A-08.
Dewan, N., Joyce, B., Merchant (2018). Human-Centric Programming in the Large - Command Languages to Scalable Cyber Training. , 295-297. https://doi.org/10.1109/VLHCC.2018.8506564
Dick, G. (2018). Genomic Approaches in Earth and Environmental Sciences. .
Dickinson, J., Rusilowicz, M.. J., Dickinson, M., Charlton, A.. J., Bechtold, U., Mullineaux, P.. M., Wilson (2018). Integrating transcriptomic techniques and k-means clustering in metabolomics to identify markers of abiotic and biotic stress in Medicago truncatula. , 14(10), 126. https://doi.org/10.1007/s11306-018-1424-y
Do, K.. S., Cetin (2018). Residential Building Energy Consumption: a Review of Energy Data Availability, Characteristics, and Energy Performance Prediction Methods. , 5(1), 76-85. https://doi.org/10.1007/s40518-018-0099-3
Domingues, L.. D., Guerrero, F.. D., Cameron, C., Farmer, A., Bendele, K.. G., Foil (2018). The assembled transcriptome of the adult horn fly, Haematobia irritans. , 19, 1933-1940. https://doi.org/10.1016/j.dib.2018.06.095
Dooley, J., Brandt, S.. R., Fonner (2018). The Agave Platform: An Open, Science-as-a-Service Platform for Digital Science. , 8-Jan. https://doi.org/10.1145/3219104.3219129
Dooley, S., Cleveland (2018). Accelerating Gateway Development with Agave ToGo Webapps and Microsites. .
Egyedi, M.. A., Musen (2018). Using Semantic Technologies to Enhance Metadata Submissions to Public Repositories in Biomedicine. , 2275, 1.
Emerson, M.. B., Roux, S., Brum, J.. R., Bolduc, B., Woodcroft, B.. J., Jang, H.. B., Singleton, C.. M., Solden, L.. M., Naas, A.. E., Boyd, J.. A., Hodgkins, S.. B., Wilson, R.. M., Trubl, G., Li, C., Frolking, S., Pope, P.. B., Wrighton, K.. C., Crill, P.. M., Chanton, J.. P., Saleska, S.. R., Tyson, G.. W., Rich, V.. I., Sullivan (2018). Host-linked soil viral ecology along a permafrost thaw gradient. , 3(8), 870-880. https://doi.org/10.1038/s41564-018-0190-y
Endara, H., Thessen, A., Cole, H., Walls, R., Gkoutos, G., Cao, Y., Chong, S., Cui (2018). Modifier Ontologies for frequency, certainty, degree, and coverage phenotype modifier. , 6, e29232. https://doi.org/10.3897/BDJ.6.e29232
Enders, E., Spalding (2018). Machine vision phenotyping platform for seedling growth and morphology. .
Essawy, T., Goodall, J.. L., Zell, W., Voce, D., Morsy, M.. M., Sadler, J., Yuan, Z., Malik (2018). Integrating scientific cyberinfrastructures to improve reproducibility in computational hydrology: Example for HydroShare and GeoTrust. , 105, 217-229. https://doi.org/10.1016/j.envsoft.2018.03.025
Falćon, W. (2018). Seed dispersal by chelonians: From individuals to communities. .
Farley, J.. W., Dawson, A., Goring, S.. J., Williams (2018). Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions. , 68(8), 563-576. https://doi.org/10.1093/biosci/biy068
Firrao, G., Torelli, E., Polano, C., Ferrante, P., Ferrini, F., Martini, M., Marcelletti, S., Scortichini, M., Ermacora, P. (2018). Genomic Structural Variations Affecting Virulence During Clonal Expansion of Pseudomonas syringae pv. actinidiae Biovar 3 in Europe. Frontiers in Microbiology, 9, 656. https://doi.org/10.3389/fmicb.2018.00656
Fischer, J., Sudarshan, S. (2018). Introduction to Jetstream. J. Comput. Sci. Coll., 34(1), 189–191.
Fischer, S., Sudarshan (2018). Introduction to jetstream. , 34, No. 1, 189-191.
Fusi, E., Manzella, D., Louafi, S., Welch (2018). Building Global Genomics Initiatives and Enabling Data Sharing: Insights from Multiple Case Studies. , 22(4), 237-247. https://doi.org/10.1089/omi.2017.0214
Gadelha Jr., F., de Siracusa, P.. C., Ziviani, A., Dalcin, E.. C., Affe, H.. M., de Siqueira, M.. F., da Silva, L.. A.. E., Augusto, D.. A., Krempser, E., Chame, M., Costa, R.. L., Meirelles, P.. M., Thompson (2018). A Survey of e-Biodiversity: Concepts, Practices, and Challenges. .
Gadelha, L.. M.. R., de Siracusa, P.. C., Ziviani, A., Dalcin, E.. C., Affe, H.. M., de Siqueira, M.. F., da Silva, L.. A.. E., Augusto, D.. A., Krempser, E., Chame, M., Costa, R.. L., Meirelles, P.. M., Thompson, F. (2018). A Survey of e-Biodiversity: Concepts, Practices, and Challenges. .
Ge, R., Son, E.. W., Yao (2018). iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data. , 19(1), 534. https://doi.org/10.1186/s12859-018-2486-6
Gesing, A., Dooley, R., Pierce, M., Krüger, J., Grunzke, R., Herres-Pawlis, S., Hoffmann (2018). Gathering requirements for advancing simulations in HPC infrastructures via science gateways. , 82, 544-554. https://doi.org/10.1016/j.future.2017.02.042
Gesing, S. (2018). Science Gateways in HPC: Usability Meets Efficiency and Effectiveness. , 36, 73-86.
Gladstein, A. (2018). Inference of Recent Demographic History of Population Isolates Using Genome-Wide High Density SNP Arrays and Whole Genome Sequences - ProQuest. .
Gregory, B.. C., Sullivan, M.. B., Segal, L.. N., Keller (2018). Smoking is associated with quantifiable differences in the human lung DNA virome and metabolome. , 19(1), 174. https://doi.org/10.1186/s12931-018-0878-9
Gupta, A., Xu, W., Jaiswal, P., Taylor, C., Regala, J. (2018). Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation. Proceedings of the 9th International Conference on Biological Ontology (ICBO 2018), 2285, No. 43.
Gupta, J., Regala (2018). Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation. , 2285, No. 43.
Guralnick, D., Wieczorek, J., Bloom (2018). The Death of VertNet Has Been Greatly Exaggerated But We Still Archive. , 2, e26836. https://doi.org/10.3897/biss.2.26836
Hacisalihoglu, A.. M., Kantanka, S., Miller, N., Gustin, J.. L., Settles (2018). Modulation of early maize seedling performance via priming under sub-optimal temperatures. , 13(11), e0206861. https://doi.org/10.1371/journal.pone.0206861
Hamm, E.. L., Peredo (2018). Biogeography of Gracilaria species in Waquoit Bay. .
Hazekamp, D., Thain (2018). MAKER as a Service: Moving HPC applications to Jetstream Cloud. .
He, M. (2018). Analysis of G-quadruplexes as environmental sensors: Novel statistical models and computational algorithms enable interpretation of complex gene expression patterns for maize under salt stress conditions. .
Heidorn, J., Stahlman, G.. R., Steffen (2018). Astrolabe: Curating, Linking and Computing Astronomy's Dark Data. , 236(1), 3. https://doi.org/10.3847/1538-4365/aab77e
Hirsh, C. (2018). Machine vision phenotyping platform for seedling growth and morphology. .
Hoffman, M.. D., Smith (2018). Gene expression differs in codominant prairie grasses under drought. , 18(2), 334-346. https://doi.org/10.1111/1755-0998.12733
Horvath, S., Bruggeman, S., Moriles-Miller, J., Anderson, J.. V., Dogramaci, M., Scheffler, B.. E., Hernandez, A.. G., Foley, M.. E., Clay (2018). Weed presence altered biotic stress and light signaling in maize even when weeds were removed early in the critical weed-free period. , 2(4), e00057. https://doi.org/10.1002/pld3.57
Horvath, S., Patel, S., Doğramaci, M., Chao, W.. S., Anderson, J.. V., Foley, M.. E., Scheffler, B., Lazo, G., Dorn, K., Yan, C., Childers, A., Schatz, M., Marcus (2018). Gene Space and Transcriptome Assemblies of Leafy Spurge ( Euphorbia esula ) Identify Promoter Sequences, Repetitive Elements, High-Quality Markers, and a Full-Length Chloroplast Genome. , 66(3), 355-367. https://doi.org/10.1017/wsc.2018.2
Howard-Varona, M.. B., Hargreaves, K.. R., Solonenko, N.. E., Markillie, L.. M., White, R.. A., Brewer, H.. M., Ansong, C., Orr, G., Adkins, J.. N., Sullivan (2018). Multiple mechanisms drive phage infection efficiency in nearly identical hosts. , 12(6), 1605-1618. https://doi.org/10.1038/s41396-018-0099-8
Howard-Varona, M.. B., Vik, D.. R., Solonenko, N.. E., Gazitua, M.. C., Hobbs, Z., Honaker, R.. W., Kinkhabwala, A.. A., Sullivan (2018). Whole-Genome Sequences of Phages p000v and p000y, Which Infect the Bacterial Pathogen Shiga-Toxigenic Escherichia coli. , 7(20), e01400-18, /mra/7/20/e01400-18.atom. https://doi.org/10.1128/MRA.01400-18
Howard-Varona, M., Vik, D., Solonenko, N., Li, Y., Gazitua, M., Chittick, L., Samiec, J., Jensen, A., Anderson, P., Howard-Varona, A., Kinkhabwala, A., Abedon, S., Sullivan (2018). Fighting Fire with Fire: Phage Potential for the Treatment of E. coli O157 Infection. , 7(4), 101. https://doi.org/10.3390/antibiotics7040101
Hubbard, A.. H. (2018). Data and -omics-driven approaches to understand the heat stress response: the development of scalable tools and methods to drive hypothesis generation. .
Hubbard, J. (2018). Data and -omics-driven approaches to understand the heat stress response: the development of scalable tools and methods to drive hypothesis generation. .
Huot, C., Levy, J.. G., Tamborindeguy (2018). Global gene regulation in tomato plant (Solanum lycopersicum) responding to vector (Bactericera cockerelli) feeding and pathogen (‘Candidatus Liberibacter solanacearum’) infection. , 97(2-Jan), 57-72. https://doi.org/10.1007/s11103-018-0724-y
IEEE International Conference on Bioinformatics and Biomedicine, Zheng, H., Ulster University, Universidad de Granada, Universidad Carlos III de Madrid, Institute of Electrical and Electronics Engineers, IEEE Computer Society, IEEE Computer Society, Technical Committee on Computational Life Sciences (2018). Proceedings, 2018 IEEE International Conference on Bioinformatics and Biomedicine: 3-6 Dec. 2018, Madrid, Spain. .
Inostroza, P., Bhakta, M., Acuña, H., Vásquez, C., Ibáñez, J., Tapia, G., Mei, W., Kirst, M., Resende, M., Munoz (2018). Understanding the Complexity of Cold Tolerance in White Clover using Temperature Gradient Locations and a GWAS Approach. , 11(3), 0. https://doi.org/10.3835/plantgenome2017.11.0096
Irigoyen, K.. K., Bedre, R.. H., Scholthof, K.. G., Mandadi (2018). Genomic Approaches to Analyze Alternative Splicing, A Key Regulator of Transcriptome and Proteome Diversity in Brachypodium distachyon. , 1667, 73-85.
Joyce, B. (2018). Image Analysis using CyVerse. .
Kalbfleisch, J.. N., Rice, E.. S., DePriest, M.. S., Walenz, B.. P., Hestand, M.. S., Vermeesch, J.. R., O′Connell, B.. L., Fiddes, I.. T., Vershinina, A.. O., Saremi, N.. F., Petersen, J.. L., Finno, C.. J., Bellone, R.. R., McCue, M.. E., Brooks, S.. A., Bailey, E., Orlando, L., Green, R.. E., Miller, D.. C., Antczak, D.. F., MacLeod (2018). Improved reference genome for the domestic horse increases assembly contiguity and composition. , 1(1), 197. https://doi.org/10.1038/s42003-018-0199-z
Katz, J., Allen, G., Barba, L.. A., Berg, D.. R., Bik, H., Boettiger, C., Borgman, C.. L., Brown, C.. T., Buck, S., Burd, R., de Waard, A., Eve, M.. P., Granger, B.. E., Greenberg, J., Howe, A., Howe, B., Khanna, M., Killeen, T.. L., Mayernik, M., McKiernan, E., Mentzel, C., Merchant, N., Niemeyer, K.. E., Noren, L., Nusser, S.. M., Reed, D.. A., Seidel, E., Smith, M., Spies, J.. R., Turk, M., Van Horn, J.. D., Walsh (2018). The principles of tomorrow's university. , 7, 1926. https://doi.org/10.12688/f1000research.17425.1
Kissling, A.. R., Ahumada, J.. A., Bowser, A., Fernandez, M., Fernández, N., García, E.. A., Guralnick, R.. P., Isaac, N.. J.. B., Kelling, S., Los, W., McRae, L., Mihoub, J., Obst, M., Santamaria, M., Skidmore, A.. K., Williams, K.. J., Agosti, D., Amariles, D., Arvanitidis, C., Bastin, L., De Leo, F., Egloff, W., Elith, J., Hobern, D., Martin, D., Pereira, H.. M., Pesole, G., Peterseil, J., Saarenmaa, H., Schigel, D., Schmeller, D.. S., Segata, N., Turak, E., Uhlir, P.. F., Wee, B., Hardisty (2018). Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale: Building global EBVs. , 93(1), 600-625. https://doi.org/10.1111/brv.12359
Kissling, R.. P., Walls, R., Bowser, A., Jones, M.. O., Kattge, J., Agosti, D., Amengual, J., Basset, A., van Bodegom, P.. M., Cornelissen, J.. H.. C., Denny, E.. G., Deudero, S., Egloff, W., Elmendorf, S.. C., Alonso García, E., Jones, K.. D., Jones, O.. R., Lavorel, S., Lear, D., Navarro, L.. M., Pawar, S., Pirzl, R., Rüger, N., Sal, S., Salguero-Gómez, R., Schigel, D., Schulz, K., Skidmore, A., Guralnick (2018). Towards global data products of Essential Biodiversity Variables on species traits. , 2(10), 1531-1540. https://doi.org/10.1038/s41559-018-0667-3
Kremling, E.. S., Chen, S., Su, M., Lepak, N.. K., Romay, M.. C., Swarts, K.. L., Lu, F., Lorant, A., Bradbury, P.. J., Buckler (2018). Dysregulation of expression correlates with rare-allele burden and fitness loss in maize. , 555(7697), 520-523. https://doi.org/10.1038/nature25966
Lampe, R.. H. (2018). Distinct Strategies by Bloom-forming Diatoms to Frequently-encountered Shifts in Their Environment. .
Lang, S.. A., Ullrich, K.. K., Murat, F., Fuchs, J., Jenkins, J., Haas, F.. B., Piednoel, M., Gundlach, H., Van Bel, M., Meyberg, R., Vives, C., Morata, J., Symeonidi, A., Hiss, M., Muchero, W., Kamisugi, Y., Saleh, O., Blanc, G., Decker, E.. L., van Gessel, N., Grimwood, J., Hayes, R.. D., Graham, S.. W., Gunter, L.. E., McDaniel, S.. F., Hoernstein, S.. N., Larsson, A., Li, F., Perroud, P., Phillips, J., Ranjan, P., Rokshar, D.. S., Rothfels, C.. J., Schneider, L., Shu, S., Stevenson, D.. W., Thümmler, F., Tillich, M., Villarreal Aguilar, J.. C., Widiez, T., Wong, G.. K., Wymore, A., Zhang, Y., Zimmer, A.. D., Quatrano, R.. S., Mayer, K.. F., Goodstein, D., Casacuberta, J.. M., Vandepoele, K., Reski, R., Cuming, A.. C., Tuskan, G.. A., Maumus, F., Salse, J., Schmutz, J., Rensing (2018). The Physcomitrella patens chromosome-scale assembly reveals moss genome structure and evolution. , 93(3), 515-533. https://doi.org/10.1111/tpj.13801
Lent, E., Hahn-Powell, G., Haug-Baltzell, A., Davey, S., Surdeanu, M., Lyons (2018). Science Citation Knowledge Extractor. , 3, 35. https://doi.org/10.3389/frma.2018.00035
Levy, J.. C., Tamborindeguy, C., Athrey, G., Scheuring, D.. C., Koym, J.. W., Miller (2018). Transcriptome of Russet Norkotah and its clonal selection, TXNS278. , 11(1), 160. https://doi.org/10.1186/s13104-018-3254-4
Li, N.. M., Hermanson, P.. J., Springer (2018). Detection of DNA Methylation by Whole-Genome Bisulfite Sequencing. , 1676, 185-196.
Liang, J.. C., Pandey, P., Stoerger, V., Xu, Y., Qiu, Y., Ge, Y., Schnable (2018). Conventional and hyperspectral time-series imaging of maize lines widely used in field trials. , 7(2). https://doi.org/10.1093/gigascience/gix117
Linero, A., LPetchey, O., MHansen, D., BUNBURY, N., KAISER-BUNBURY, C., OZGUL (2018). Seed Dispersal by Chelonians: From Individuals to Communities. .
Liu, S., Breman, E., Cossu, T.. A., Kenney (2018). The conservation value of germplasm stored at the Millennium Seed Bank, Royal Botanic Gardens, Kew, UK. , 27(6), 1347-1386. https://doi.org/10.1007/s10531-018-1497-y
Lorant, A. (2018). Plasticity and genetic adaptation as contributors to the evolutionary history of cultivated maize and its wild relatives. .
Lotterhos, A.. E., Moore, J.. H., Stapleton (2018). Analysis validation has been neglected in the Age of Reproducibility. , 16(12), e3000070. https://doi.org/10.1371/journal.pbio.3000070
Lowe, D.. Y., Fischer, J., Sudarshan, S., Turner, G., Stewart, C.. A., Hancock (2018). High Availability on Jetstream: Practices and Lessons Learned. , 7-Jan. https://doi.org/10.1145/3217880.3217884
Maggio, D., Bressan, R., Zhao, Y., Park, J., Yun (2018). It’s Hard to Avoid Avoidance: Uncoupling the Evolutionary Connection between Plant Growth, Productivity and Stress “Tolerance”. , 19(11), 3671. https://doi.org/10.3390/ijms19113671
Maitner, B.. J., Boyle, B., Casler, N., Condit, R., Donoghue, J., Durán, S.. M., Guaderrama, D., Hinchliff, C.. E., Jørgensen, P.. M., Kraft, N.. J., McGill, B., Merow, C., Morueta-Holme, N., Peet, R.. K., Sandel, B., Schildhauer, M., Smith, S.. A., Svenning, J., Thiers, B., Violle, C., Wiser, S., Enquist (2018). The bien r package: A tool to access the Botanical Information and Ecology Network (BIEN) database. , 9(2), 373-379. https://doi.org/10.1111/2041-210X.12861
Manching, H.. C., Carlson, K., Kosowsky, S., Smitherman, C.. T., Stapleton, A.. E. (2018). Maize Phyllosphere Microbial Community Niche Development Across Stages of Host Leaf Growth. F1000Research, 6, 1698. https://doi.org/10.12688/f1000research.12490.3
Marizzi, D.. A., Florio, A., Lee, M., Khalfan, M., Ghiban, C., Nash, B., Dorey, J., McKenzie, S., Mazza, C., Cellini, F., Baria, C., Bepat, R., Cosentino, L., Dvorak, A., Gacevic, A., Guzman-Moumtzis, C., Heller, F., Holt, N.. A., Horenstein, J., Joralemon, V., Kaur, M., Kaur, T., Khan, A., Kuppan, J., Laverty, S., Lock, C., Pena, M., Petrychyn, I., Puthenkalam, I., Ram, D., Ramos, A., Scoca, N., Sin, R., Gonzalez, I., Thakur, A., Usmanov, H., Han, K., Wu, A., Zhu, T., Micklos (2018). DNA barcoding Brooklyn (New York): A first assessment of biodiversity in Marine Park by citizen scientists. , 13(7), e0199015. https://doi.org/10.1371/journal.pone.0199015
McCallum, J., Baldwin, S., Macknight, R., Khosa, J., Shaw, M. (2018). Molecular Mapping of Genes and QTL: Progress to Date and Development of New Population Resources for NGS Genetics. , 181–196.
McCallum, M., Baldwin, S., Macknight, R., Khosa, J., Shaw (2018). Molecular Mapping of Genes and QTL: Progress to Date and Development of New Population Resources for NGS Genetics. , 181-196.
McKain, Y., Johnson, M.. G., Uribe-Convers, S., Eaton, D., Yang (2018). Practical considerations for plant phylogenomics. , 6(3), e1038. https://doi.org/10.1002/aps3.1038
McMullan, M.. D., Rafiqi, M., Kaithakottil, G., Clavijo, B.. J., Bilham, L., Orton, E., Percival-Alwyn, L., Ward, B.. J., Edwards, A., Saunders, D.. G.. O., Garcia Accinelli, G., Wright, J., Verweij, W., Koutsovoulos, G., Yoshida, K., Hosoya, T., Williamson, L., Jennings, P., Ioos, R., Husson, C., Hietala, A.. M., Vivian-Smith, A., Solheim, H., MaClean, D., Fosker, C., Hall, N., Brown, J.. K.. M., Swarbreck, D., Blaxter, M., Downie, J.. A., Clark (2018). The ash dieback invasion of Europe was founded by two genetically divergent individuals. , 2(6), 1000-1008. https://doi.org/10.1038/s41559-018-0548-9
Merchant, T.. L.. S., Ramona Walls, Upendra Kumar Devisetty, Nirav (2018). CyVerse: a Ten-year Perspective on Cyberinfrastructure Development, Collaboration, and Community Building. , IN23B-0767.
Michener, W.. K. (2018). Creating and Managing Metadata. , 71-88.
Miller, E.. P., Stelpflug, S.. C., Kaeppler, S.. M., Spalding (2018). A machine vision platform for measuring imbibition of maize kernels: quantification of genetic effects and correlations with germination. , 14(1), 115. https://doi.org/10.1186/s13007-018-0383-7
Miller, N. (2018). A Machine-Vision Seedling Emergence Assay. .
Molina, N., Sherpa, C., Ng, J., Sonam, T., Stuhr (2018). DNA barcoding of online herbal supplements: crowd-sourcing pharmacovigilance in high school. , 13(1), 48-55. https://doi.org/10.1515/biol-2018-0007
Monson, S.. J., Van Goor, A.. G., Ashwell, C.. M., Persia, M.. E., Rothschild, M.. F., Schmidt, C.. J., Lamont (2018). Immunomodulatory effects of heat stress and lipopolysaccharide on the bursal transcriptome in two distinct chicken lines. , 19(1), 643. https://doi.org/10.1186/s12864-018-5033-y
Méndez-García, M., Bargiela, R., Martínez-Martínez, M., Ferrer (2018). Metagenomic Protocols and Strategies. , 15-54.
Nagaraj, A., Sharvani, G., Sridhar (2018). Emerging trend of big data analytics in bioinformatics: a literature review. , 14(2-Jan), 144. https://doi.org/10.1504/IJBRA.2018.089175
Nakayama, S., Sakamoto, T., Okegawa, Y., Kaminoyama, K., Fujie, M., Ichihashi, Y., Kurata, T., Motohashi, K., Al-Shehbaz, I., Sinha, N., Kimura (2018). Comparative transcriptomics with self-organizing map reveals cryptic photosynthetic differences between two accessions of North American Lake cress. , 8(1), 3302. https://doi.org/10.1038/s41598-018-21646-w
Ndulo, S., Kayizzi-Mugerwa (2018). Evaluating the NEPAD Resource Mobilization Strategy. , 88.
Nelson, E., Haug-Baltzell, A.. K., Davey, S., Gregory, B.. D., Lyons (2018). EPIC-CoGe: managing and analyzing genomic data. , 34(15), 2651-2653. https://doi.org/10.1093/bioinformatics/bty106
Nguyen, T., Jung, H., Rotllant, G., Hurwood, D., Mather, P., Ventura (2018). Guidelines for RNA-seq projects: applications and opportunities in non-model decapod crustacean species. , 825(1), 27-May. https://doi.org/10.1007/s10750-018-3682-0
Ogeron, D., Odonne, G., Cristinoi, A., Engel, J., Grenand, P., Beauchêne, J., Clair, B., Davy (2018). Palikur traditional roundwood construction in eastern French Guiana: ethnobotanical and cultural perspectives. , 14(1), 28. https://doi.org/10.1186/s13002-018-0226-7
Ohlrogge, B., Thrower, N., Mhaske, V., Stymne, S., Baxter, M., Yang, W., Liu, J., Shaw, K., Shorrosh, B., Zhang, M., Wilkerson, C., Matthäus (2018). PlantFAdb: a resource for exploring hundreds of plant fatty acid structures synthesized by thousands of plants and their phylogenetic relationships. , 96(6), 1299-1308. https://doi.org/10.1111/tpj.14102
Oliveira Alvarenga, A.. M., Moreira, L.. M., Chandler, M., Varani (2018). A Practical Guide for Comparative Genomics of Mobile Genetic Elements in Prokaryotic Genomes. , 1704, 213-242.
Oriol, E., Teniente (2018). An Ontology-Based Framework for Describing Discoverable Data Services. , 10816, 220-235.
Orozco-Arias, R., Liu, J., Tabares-Soto, R., Ceballos, D., Silva Domingues, D., Garavito, A., Ming, R., Guyot (2018). Inpactor, Integrated and Parallel Analyzer and Classifier of LTR Retrotransposons and Its Application for Pineapple LTR Retrotransposons Diversity and Dynamics. , 7(2), 32. https://doi.org/10.3390/biology7020032
Pal, H.. J., More, R.. P., Purohit (2018). Bioinformatics Tools for Shotgun Metagenomic Data Analysis. , 91-110.
Park, J.. K., Kyndt, J., Chougule, K., Park, J., Brown (2018). Low-phosphate-selected Auxenochlorella protothecoides redirects phosphate to essential pathways while producing more biomass. , 13(6), e0198953. https://doi.org/10.1371/journal.pone.0198953
Park, S.. J., Mazer (2018). Overlooked climate parameters best predict flowering onset: Assessing phenological models using the elastic net. , 24(12), 5972-5984. https://doi.org/10.1111/gcb.14447
Patterson, E.. L. (2018). The Genetics and Genomics of Herbicide Resistant Kochia scoparia. .
Pease, S.. A., Brown, J.. W., Walker, J.. F., Hinchliff, C.. E., Smith (2018). Quartet Sampling distinguishes lack of support from conflicting support in the green plant tree of life. , 105(3), 385-403. https://doi.org/10.1002/ajb2.1016
Pelletier, G.. E., Barron-Gafford, G.. A., Gutiérrez-Jurado, H., Hinckley, E.. S., Istanbulluoglu, E., McGuire, L.. A., Niu, G., Poulos, M.. J., Rasmussen, C., Richardson, P., Swetnam, T.. L., Tucker (2018). Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks: Which way do you lean?. , 43(5), 1133-1154. https://doi.org/10.1002/esp.4306
Perdrial, J., Brooks, P.. D., Swetnam, T., Lohse, K.. A., Rasmussen, C., Litvak, M., Harpold, A.. A., Zapata-Rios, X., Broxton, P., Mitra, B., Meixner, T., Condon, K., Huckle, D., Stielstra, C., Vázquez-Ortega, A., Lybrand, R., Holleran, M., Orem, C., Pelletier, J., Chorover (2018). A net ecosystem carbon budget for snow dominated forested headwater catchments: linking water and carbon fluxes to critical zone carbon storage. , 138(3), 225-243. https://doi.org/10.1007/s10533-018-0440-3
Polański, D.. L., Gao, B., Mason, S.. A., Brown, P., Ott, S., Denby, K.. J., Wild (2018). Bringing numerous methods for expression and promoter analysis to a public cloud computing service. , 34(5), 884-886. https://doi.org/10.1093/bioinformatics/btx692
Prabhakar, K. (2018). Reaffirming the Power of Nature’s Pharmacy through Pharmacognosy. , 40, No. 1, 19-23.
Prewitt, R.. C., Ayre, B.. G., McGarry (2018). Cotton CENTRORADIALIS/TERMINAL FLOWER 1/SELF-PRUNING genes functionally diverged to differentially impact plant architecture. . https://doi.org/10.1093/jxb/ery324
Proctor, J., Packard, M., Jamthe, A., Cardone, R., Stubbs (2018). Virtualizing the Stampede2 Supercomputer with Applications to HPC in the Cloud. , 6-Jan. https://doi.org/10.1145/3219104.3219131
Putonti, C., Diener, Z., Watkins, S.. C. (2018). Freshwater Viromes: From Sampling to Evaluation. , 17–27.
Putonti, S.. C., Diener, Z., Watkins (2018). Freshwater Viromes: From Sampling to Evaluation. , 1849, 17-27.
Ramírez-González, C., Borrill, P., Lang, D., Harrington, S.. A., Brinton, J., Venturini, L., Davey, M., Jacobs, J., van Ex, F., Pasha, A., Khedikar, Y., Robinson, S.. J., Cory, A.. T., Florio, T., Concia, L., Juery, C., Schoonbeek, H., Steuernagel, B., Xiang, D., Ridout, C.. J., Chalhoub, B., Mayer, K.. F.. X., Benhamed, M., Latrasse, D., Bendahmane, A., International Wheat Genome Sequencing Consortium, Wulff, B.. B.. H., Appels, R., Tiwari, V., Datla, R., Choulet, F., Pozniak, C.. J., Provart, N.. J., Sharpe, A.. G., Paux, E., Spannagl, M., Bräutigam, A., Uauy (2018). The transcriptional landscape of polyploid wheat. , 361(6403), eaar6089. https://doi.org/10.1126/science.aar6089
Reddy, T., Campbell (2018). RAPTORS: Hyperspectral Survey of the GEO Belt. .
Reddy, V., Furfaro, R., Christensen, E., Seaman, R., Shelly, F. (2018). Synergistic Neo-Debris Activities at University of Arizona. Proceedings of the 1st NEO and Debris Detection Conference, 6.
Reddy, V., Linder, T., Linares, R., Furfaro, R., Tucker, S., Campbell, T. (2018). RAPTORS: Hyperspectral Survey of the GEO Belt. In The Advanced Maui Optical and Space Surveillance Technologies Conference.
Rivera, J.. A., Salgado-Salazar, C., Veltri, D., Malapi-Wight, M., Crouch (2018). Genome analysis of the ubiquitous boxwood pathogen Pseudonectria foliicola. , 6, e5401. https://doi.org/10.7717/peerj.5401
Roberts, S.. B., Gavery, M.. R. (2018). Opportunities in Functional Genomics: A Primer on Lab and Computational Aspects. Journal of Shellfish Research, 37(4), 747–754. https://doi.org/10.2983/035.037.0406
Rosario, M., Fierer, N., Miller, S., Luongo, J., Breitbart (2018). Diversity of DNA and RNA Viruses in Indoor Air As Assessed via Metagenomic Sequencing. , 52(3), 1014-1027. https://doi.org/10.1021/acs.est.7b04203
Rosenfield, A., Fay, J., Gilchrist, R.. K., Cui, C., Weigel, A.. D., Robitaille, T., Otor, O.. J., Goodman (2018). AAS WorldWide Telescope: Seamless, Cross-Platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data. , 236(1), 22. https://doi.org/10.3847/1538-4365/aab776
Saha, P. (2018). Exploring resource fairness and container orchestration in a cloud environment for scientific computing workloads. .
Sari, S., Bhadauria, V., Ramsay, L., Borhan, M.. H., Lichtenzveig, J., Bett, K.. E., Vandenberg, A., Banniza (2018). Defense responses of lentil (Lens culinaris) genotypes carrying non-allelic ascochyta blight resistance genes to Ascochyta lentis infection. , 13(9), e0204124. https://doi.org/10.1371/journal.pone.0204124
Selvakumar, C., Singh Jat, G., Nabi, S.. U., Malik, G., Gangadhara, K., Pradeepika (2018). Genomic Advances in Root Vegetable Crops. , 7(10), 2649-2660. https://doi.org/10.20546/ijcmas.2018.710.308
Shaibu, R., Uguru, M.. I., Sow, M., Maji, A.. T., Ndjiondjop, M.. N., Venuprasad (2018). Screening African Rice ( ) for Tolerance to Abiotic Stresses: II. Lowland Drought. , 58(1), 133. https://doi.org/10.2135/cropsci2017.04.0255
Shaw, M., Sherman, J., Barker, F.. K., Zuk (2018). Metrics matter: the effect of parasite richness, intensity and prevalence on the evolution of host migration. , 285(1891), 20182147. https://doi.org/10.1098/rspb.2018.2147
Shi, J., Xue, C., Liu, W., Zhang, H. (2018). Differentiation of Human‐Induced Pluripotent Stem Cells to Macrophages for Disease Modeling and Functional Genomics. Current Protocols in Stem Cell Biology, e74. https://doi.org/10.1002/cpsc.74
Shyamal, D.. S., Das, S., Guruacharya, A., Mykles, D.. L., Durica (2018). Transcriptomic analysis of crustacean molting gland (Y-organ) regulation via the mTOR signaling pathway. , 8(1), 7307. https://doi.org/10.1038/s41598-018-25368-x
Simakov, T.. R., White, J.. P., DeLeon, R.. L., Gallo, S.. M., Jones, M.. D., Palmer, J.. T., Plessinger, B., Furlani (2018). A Workload Analysis of NSF's Innovative HPC Resources Using XDMoD. .
Spalding, E.. P. (2018). Helping the Community Transform High-Throughput Imaging Data into Phenotype Information. , W064.
Spalding, J., Hinz, P., Ertel, S., Maier, E., Stone (2018). Towards controlled Fizeau observations with the Large Binocular Telescope. .
Stahl, P., Staab (2018). What Does Reality Look Like?. , 14-Nov.
Stahlman, J., Heidorn, P.. B., Steffen (2018). The Astrolabe Project: Identifying and Curating Astronomical Dark Data through Development of Cyberinfrastructure Resources. , 186, 3003. https://doi.org/10.1051/epjconf/201818603003
Stein, R.. A., Yu, Y., Copetti, D., Zwickl, D.. J., Zhang, L., Zhang, C., Chougule, K., Gao, D., Iwata, A., Goicoechea, J.. L., Wei, S., Wang, J., Liao, Y., Wang, M., Jacquemin, J., Becker, C., Kudrna, D., Zhang, J., Londono, C.. E.. M., Song, X., Lee, S., Sanchez, P., Zuccolo, A., Ammiraju, J.. S.. S., Talag, J., Danowitz, A., Rivera, L.. F., Gschwend, A.. R., Noutsos, C., Wu, C., Kao, S., Zeng, J., Wei, F., Zhao, Q., Feng, Q., El Baidouri, M., Carpentier, M., Lasserre, E., Cooke, R., Rosa Farias, D.. d., da Maia, L.. C., dos Santos, R.. S., Nyberg, K.. G., McNally, K.. L., Mauleon, R., Alexandrov, N., Schmutz, J., Flowers, D., Fan, C., Weigel, D., Jena, K.. K., Wicker, T., Chen, M., Han, B., Henry, R., Hsing, Y.. C., Kurata, N., de Oliveira, A.. C., Panaud, O., Jackson, S.. A., Machado, C.. A., Sanderson, M.. J., Long, M., Ware, D., Wing (2018). Genomes of 13 domesticated and wild rice relatives highlight genetic conservation, turnover and innovation across the genus Oryza. , 50(2), 285-296. https://doi.org/10.1038/s41588-018-0040-0
Stubbs, J., Looney (2018). Rapid Development of Scalable, Distributed Computation with Abaco. .
Stucky, R., Guralnick, R., Deck, J., Denny, E.. G., Bolmgren, K., Walls (2018). The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data. , 9, 517. https://doi.org/10.3389/fpls.2018.00517
Swetnam, J., Gillan, J.. K., Sankey, T.. T., McClaran, M.. P., Nichols, M.. H., Heilman, P., McVay (2018). Considerations for Achieving Cross-Platform Point Cloud Data Fusion across Different Dryland Ecosystem Structural States. , 8, 2144. https://doi.org/10.3389/fpls.2017.02144
Swetnam, T.. L., Walls, R., Devisetty, U.. K., Merchant, N. (2018). CyVerse: a Ten-year Perspective on Cyberinfrastructure Development, Collaboration, and Community Building.. American Geophysical Union, Fall Meeting 2018, abstract #IN23B-0767.
Swetnam, T. (2018). Saguaro Cactus - 5. .
Tang, E., Zhang, X., Tong, C., Chalhoub, B., Liu, S., Lyons (2018). From Alpha-Duplication to Triplication and Sextuplication. , 99-109.
Tang, H., Zhang, X., Tong, C., Chalhoub, B., Liu, S., Lyons, E. (2018). From Alpha-Duplication to Triplication and Sextuplication. , 99–109.
Tello-Ruiz, D., Naithani, S., Stein, J.. C., Gupta, P., Campbell, M., Olson, A., Wei, S., Preece, J., Geniza, M.. J., Jiao, Y., Lee, Y.. K., Wang, B., Mulvaney, J., Chougule, K., Elser, J., Al-Bader, N., Kumari, S., Thomason, J., Kumar, V., Bolser, D.. M., Naamati, G., Tapanari, E., Fonseca, N., Huerta, L., Iqbal, H., Keays, M., Munoz-Pomer Fuentes, A., Tang, A., Fabregat, A., D’Eustachio, P., Weiser, J., Stein, L.. D., Petryszak, R., Papatheodorou, I., Kersey, P.. J., Lockhart, P., Taylor, C., Jaiswal, P., Ware (2018). Gramene 2018: unifying comparative genomics and pathway resources for plant research. , 46(D1), D1181-D1189. https://doi.org/10.1093/nar/gkx1111
Triant, A.. Y., Cinel, S.. D., Kawahara (2018). Lepidoptera genomes: current knowledge, gaps and future directions. , 25, 99-105. https://doi.org/10.1016/j.cois.2017.12.004
Trigkakis, B., Manjunath (2018). Planteome & BisQue: Automating Image Annotation with Ontologies using Deep-Learning Networks. , 2285, No. 11.
Trigkakis, D., Todorovic, S., Preece, J., Meier, A., Elser, J., Jaiswal, P., Kvilekval, K., Fedorov, D., Manjunath, B. (2018). Planteome & BisQue: Automating Image Annotation with Ontologies using Deep-Learning Networks. Proceedings of the 9th International Conference on Biological Ontology (ICBO 2018),, 2285, No. 11.
Wang, D., Lu, Z., Buren, P.. V., Ware (2018). SciApps: a Bioinformatics Workflow Platform Powered by XSEDE and CyVerse. , 5-Jan. https://doi.org/10.1145/3219104.3219109
Wang, D., Lu, Z., Van Buren, P., Ware (2018). SciApps: a cloud-based platform for reproducible bioinformatics workflows. . https://doi.org/10.1093/bioinformatics/bty439
Wang, T.. F., Du, M., Wang, J., Zhu (2018). Genetic variation may confound analysis of CRISPR-Cas9 off-target mutations. , 4(1), 18. https://doi.org/10.1038/s41421-018-0025-2
Wang, T., Jiang, X., Liu, L., Li, B., Zhang (2018). High-Resolution Temporal and Spatial Patterns of Virome in Wastewater Treatment Systems. , 52(18), 10337-10346. https://doi.org/10.1021/acs.est.8b03446
Wang, V.. L., Matthews, M.. L., Williams, C.. M., Shi, R., Yang, C., Tunlaya-Anukit, S., Chen, H., Li, Q., Liu, J., Lin, C., Naik, P., Sun, Y., Loziuk, P.. L., Yeh, T., Kim, H., Gjersing, E., Shollenberger, T., Shuford, C.. M., Song, J., Miller, Z., Huang, Y., Edmunds, C.. W., Liu, B., Sun, Y., Lin, Y.. J., Li, W., Chen, H., Peszlen, I., Ducoste, J.. J., Ralph, J., Chang, H., Muddiman, D.. C., Davis, M.. F., Smith, C., Isik, F., Sederoff, R., Chiang (2018). Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis. , 9(1), 1579. https://doi.org/10.1038/s41467-018-03863-z
Wang, W., Huang, R., Xu (2018). Authentication with User Driven Web Application for Accessing Remote Resources. , 7-Jan. https://doi.org/10.1145/3219104.3229290
Wang, X.. H., Tian, L., Liu, J., Goldstein, A., Bado, I., Zhang, W., Arenkiel, B.. R., Li, Z., Yang, M., Du, S., Zhao, H., Rowley, D.. R., Wong, S.. T., Gugala, Z., Zhang (2018). The Osteogenic Niche Is a Calcium Reservoir of Bone Micrometastases and Confers Unexpected Therapeutic Vulnerability. , 34(5), 823-839.e7. https://doi.org/10.1016/j.ccell.2018.10.002
Wang, Y., Jiang, W., Ye, W., Fu, C., Gitzendanner, M.. A., Soltis, P.. S., Soltis, D.. E., Qiu (2018). Evolutionary insights from comparative transcriptome and transcriptome-wide coalescence analyses in Tetrastigma hemsleyanum. , 18(1), 208. https://doi.org/10.1186/s12870-018-1429-8
Weeks, J.. M., Luecke, G.. R., Groth, B.. M., Kraeva, M., Ma, L., Kramer, L.. M., Koltes, J.. E., Reecy (2018). High-performance epistasis detection in quantitative trait GWAS. , 32(3), 321-336. https://doi.org/10.1177/1094342016658110
West, D.. A. (2018). The Evolution of Responses to Abiotic Factors in Leaves and Their Specialized Cell Types in the Tomato Family. .
Wijayasekara, J., Hoyt, P., Gimondo, A., Dunn, B., Thapa, A., Jones, H., Verchot (2018). Molecular characterization of two badnavirus genomes associated with Canna yellow mottle disease. , 243, 19-24. https://doi.org/10.1016/j.virusres.2017.10.001
Woehle, T., Roy, A., Glock, N., Wein, T., Weissenbach, J., Rosenstiel, P., Hiebenthal, C., Michels, J., Schönfeld, J., Dagan (2018). A Novel Eukaryotic Denitrification Pathway in Foraminifera. , 28(16), 2536-2543.e5. https://doi.org/10.1016/j.cub.2018.06.027
Xu, J., Valdes, C., Clarke (2018). Existing and Potential Statistical and Computational Approaches for the Analysis of 3D CT Images of Plant Roots. , 8(5), 71. https://doi.org/10.3390/agronomy8050071
Xu, J., Yu, Q., Shi, Y., Hua, X., Tang, H., Yang, L., Ming, R., Zhang (2018). PGD: Pineapple Genomics Database. , 5(1), 66. https://doi.org/10.1038/s41438-018-0078-2
Xu, W., Huang, R., Wang, Y. (2018). Enabling User Driven Big Data Application on Remote Computing Resources. 2018 IEEE International Conference on Big Data (Big Data), 4276–4284.
York, L.. M. (2018). Phenotyping Crop Root Crowns: General Guidance and Specific Protocols for Maize, Wheat, and Soybean. , 1761, 23-32.
Yost, S.. J., Sweeney, P.. W., Gilbert, E., Nelson, G., Guralnick, R., Gallinat, A.. S., Ellwood, E.. R., Rossington, N., Willis, C.. G., Blum, S.. D., Walls, R.. L., Haston, E.. M., Denslow, M.. W., Zohner, C.. M., Morris, A.. B., Stucky, B.. J., Carter, J.. R., Baxter, D.. G., Bolmgren, K., Denny, E.. G., Dean, E., Pearson, K.. D., Davis, C.. C., Mishler, B.. D., Soltis, P.. S., Mazer (2018). Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants. , 6(2), e1022. https://doi.org/10.1002/aps3.1022
Zeng, S., Lyu, Z., Narisetti, S.. R.. K., Xu, D., Joshi, T. (2018). Knowledge Base Commons (KBCommons) v1. 0: A multi OMICS'web-based data integration framework for biological discoveries. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 589–594.
Zhang, S.. S., Calyam, P., Debroy, S., Nuguri (2018). Social Plane for Recommenders in Network Performance Expectation Management. , 15(1), 97-111. https://doi.org/10.1109/TNSM.2017.2772905
Zhang, S.. J., Kaiser, M.. G., Deist, M.. S., Gallardo, R.. A., Bunn, D.. A., Kelly, T.. R., Dekkers, J.. C.. M., Zhou, H., Lamont (2018). Transcriptome Analysis in Spleen Reveals Differential Regulation of Response to Newcastle Disease Virus in Two Chicken Lines. , 8(1), 1278. https://doi.org/10.1038/s41598-018-19754-8
Zhang, S.. J., Schmidt, C.. J., Lamont (2018). Distinct genes and pathways associated with transcriptome differences in early cardiac development between fast- and slow-growing broilers. , 13(12), e0207715. https://doi.org/10.1371/journal.pone.0207715
Zhang, Z., Sun, W., Singh, R., Zheng, Y., Cao, Z., Li, M., Lunde, C., Hake, S., Zhang (2018). GRF-interacting factor1 Regulates Shoot Architecture and Meristem Determinacy in Maize. , 30(2), 360-374. https://doi.org/10.1105/tpc.17.00791
Zhou, S. (2018). Genetic and Physiological Regulation of Specialized Metabolism and Biochemical Defense in Zea mays. .
de Vila, M.. H., Attar, R., Pereanez, M., Frangi, A.. F. (2018). MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1726–1733. https://doi.org/10.1109/BIBM.2018.8621317
Šímová, B.. J., Violle, C., Svenning, J., Kattge, J., Engemann, K., Sandel, B., Peet, R.. K., Wiser, S.. K., Blonder, B., McGill, B.. J., Boyle, B., Morueta-Holme, N., Kraft, N.. J.. B., van Bodegom, P.. M., Gutiérrez, A.. G., Bahn, M., Ozinga, W.. A., Tószögyová, A., Enquist (2018). Spatial patterns and climate relationships of major plant traits in the New World differ between woody and herbaceous species. , 45(4), 895-916. https://doi.org/10.1111/jbi.13171
2017
Adhikari, A.. M., Razar, R.. M., Paudel, D., Ding, R., Missaoui (2017). Insights into Seasonal Dormancy of Perennial Herbaceous Forages. , 8(11), 2650-2680. https://doi.org/10.4236/ajps.2017.811179
Agnew, C.. N., Bray, A., Floro, E., Ellis, N., Gierer, J., Lizárraga, C., O'Brien, D., Wiechert, M., Mockler, T.. C., Shakoor, N., Topp (2017). Whole‐Plant Manual and Image‐Based Phenotyping in Controlled Environments. , 2(1), 21-Jan. https://doi.org/10.1002/cppb.20044
Ahlgren, F., Ren, J., Lu, Y.. Y., Fuhrman, J.. A., Sun (2017). Alignment-free d2∗d2∗ oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences. , 45(1), 39-53. https://doi.org/10.1093/nar/gkw1002
Aloisio, J.. M. (2017). Rooftop plants: Community and nutrient dynamics of New York City green roofs. .
Barone, D., Williams, J., Micklos (2017). Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators. , 13(10), e1005755. https://doi.org/10.1371/journal.pcbi.1005755
Becker Scarpitta, M., Bardat, J., Lalanne, A., Vellend (2017). Long-term community change: bryophytes are more responsive than vascular plants to nitrogen deposition and warming. , 28(6), 1220-1229. https://doi.org/10.1111/jvs.12579
Belete, G.. F., Voinov, A., Laniak (2017). An overview of the model integration process: From pre-integration assessment to testing. , 87, 49-63. https://doi.org/10.1016/j.envsoft.2016.10.013
Belete, G.. F. (2017). Integrating models on the web: applications for socio-environmental studies. .
Blažun Vošner, P., Bobek, S., Sternad Zabukovšek, S., Kokol (2017). Openness and information technology: a bibliometric analysis of literature production. , 46(5), 750-766. https://doi.org/10.1108/K-10-2016-0292
Bolduc, M.. B., Youens-Clark, K., Roux, S., Hurwitz, B.. L., Sullivan (2017). iVirus: facilitating new insights in viral ecology with software and community data sets imbedded in a cyberinfrastructure. , 11(1), 14-Jul. https://doi.org/10.1038/ismej.2016.89
Bolduc, M.. B., Jang, H.. B., Doulcier, G., You, Z., Roux, S., Sullivan (2017). vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria. , 5, e3243. https://doi.org/10.7717/peerj.3243
Bolger, B., Schwacke, R., Gundlach, H., Schmutzer, T., Chen, J., Arend, D., Oppermann, M., Weise, S., Lange, M., Fiorani, F., Spannagl, M., Scholz, U., Mayer, K., Usadel (2017). From plant genomes to phenotypes. , 261, 46-52. https://doi.org/10.1016/j.jbiotec.2017.06.003
Brasil, M.. R., de Siqueira, F.. G., Salum, T.. F.. C., Zanette, C.. M., Spier (2017). Microalgae and cyanobacteria as enzyme biofactories. , 25, 76-89. https://doi.org/10.1016/j.algal.2017.04.035
Brozynska, R.. J., Copetti, D., Furtado, A., Wing, R.. A., Crayn, D., Fox, G., Ishikawa, R., Henry (2017). Sequencing of Australian wild rice genomes reveals ancestral relationships with domesticated rice. , 15(6), 765-774. https://doi.org/10.1111/pbi.12674
Bucksch, J.. S., Das, A., Schneider, H., Merchant, N., Weitz (2017). Overcoming the Law of the Hidden in Cyberinfrastructures. , 22(2), 117-123. https://doi.org/10.1016/j.tplants.2016.11.014
Buonaccorsi, A., Hamlin, D., Fowler, B., Sullivan, C., Sickler (2017). An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching. .
Carvajal-Endara, T.. J., Hendry, A.. P., Emery, N.. C., Davies (2017). Habitat filtering not dispersal limitation shapes oceanic island floras: species assembly of the Galápagos archipelago. , 20(4), 495-504. https://doi.org/10.1111/ele.12753
Chao, M.. E., Doğramacı, M., Horvath, D.. P., Anderson, J.. V., Foley (2017). Comparison of phytohormone levels and transcript profiles during seasonal dormancy transitions in underground adventitious buds of leafy spurge. , 94(3), 281-302. https://doi.org/10.1007/s11103-017-0607-7
Chard, J., Dart, E., Foster, I., Shifflett, D., Tuecke, S., Williams (2017). The Modern Research Data Portal: A design pattern for networked, data-intensive science. .
Chen, J., Zhang, Q., Hu, W., Zhang, X., Wang, L., Hua, X., Yu, Q., Ming, R., Zhang (2017). Evolution and expression of the fructokinase gene family in Saccharum. , 18(1), 197. https://doi.org/10.1186/s12864-017-3535-7
Cicero, J.. R., Spencer, C.. L., Bloom, D.. A., Guralnick, R.. P., Koo, M.. S., Otegui, J., Russell, L.. A., Wieczorek (2017). Biodiversity Informatics and Data Quality on a Global Scale1. .
Coppens, S., Wuyts, N., Inzé, D., Dhondt (2017). Unlocking the potential of plant phenotyping data through integration and data-driven approaches. , 4, 58-63. https://doi.org/10.1016/j.coisb.2017.07.002
Coronel, S., Mock (2017). DesignSafe: Using Elasticsearch to Share and Search Data on a Science Web Portal. , 3-Jan. https://doi.org/10.1145/3093338.3093386
Craig, P.. A. (2017). A survey on faculty perspectives on the transition to a biochemistry course-based undergraduate research experience laboratory: Transition to a CURE. , 45(5), 426-436. https://doi.org/10.1002/bmb.21060
Cutcher-Gershenfeld, I., Baker, K.. S., Berente, N., Flint, C., Gershenfeld, G., Grant, B., Haberman, M., King, J.. L., Kirkpatrick, C., Lawrence, B., Lewis, S., Lenhardt, W.. C., Mayernik, M., McElroy, C., Mittleman, B., Shin, N., Stall, S., Winter, S., Zaslavsky (2017). Five ways consortia can catalyse open science. , 543(7647), 615-617. https://doi.org/10.1038/543615a
D'Agostino, A., Roverelli, L., Zereik, G., De Luca, A., Salvaterra, R., Belfiore, A., Lisini, G., Novara, G., Tiengo (2017). A microservice-based portal for X-ray transient and variable sources. .
DeChant, H., Wiesner-Hanks, T., Chen, S., Stewart, E.. L., Yosinski, J., Gore, M.. A., Nelson, R.. J., Lipson (2017). Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning. , 107(11), 1426-1432. https://doi.org/10.1094/PHYTO-11-16-0417-R
Deck, R., Stucky, B., Walls, R., Ewing, R., Genazzio, M., Loescher, H., Guralnick (2017). A High-throughput Data Ingest Pipeline for Semantic Data-stores. , 1, e20208. https://doi.org/10.3897/tdwgproceedings.1.20208
Deist, S.. J., Gallardo, R.. A., Bunn, D.. A., Dekkers, J.. C.. M., Zhou, H., Lamont (2017). Resistant and susceptible chicken lines show distinctive responses to Newcastle disease virus infection in the lung transcriptome. , 18(1), 989. https://doi.org/10.1186/s12864-017-4380-4
Deist, S.. J., Gallardo, R.. A., Bunn, D.. A., Kelly, T.. R., Dekkers, J.. C.. M., Zhou, H., Lamont (2017). Novel Mechanisms Revealed in the Trachea Transcriptome of Resistant and Susceptible Chicken Lines following Infection with Newcastle Disease Virus. , 24(5), e00027-17, /cdli/24/5/e00027-17.atom. https://doi.org/10.1128/CVI.00027-17
Dinkins, C.. L., Nagabhyru, P., Graham, M.. A., Boykin, D., Schardl (2017). Transcriptome response of Lolium arundinaceum to its fungal endophyte Epichloë coenophiala. , 213(1), 324-337. https://doi.org/10.1111/nph.14103
Dolan, A.. L., Aronson, M.. F., Hipp (2017). Floristic response to urbanization: Filtering of the bioregional flora in Indianapolis, Indiana, USA. , 104(8), 1179-1187. https://doi.org/10.3732/ajb.1700136
Eckes, W., Jurkowski (2017). The Brassica Information Portal: Towards Integrating Phenotype and Genotype Data. , C11.
Eckes, W., Gubała, T., Nowakowski, P., Szymczyszyn, T., Wells, R., Irwin, J.. A., Horro, C., Hancock, J.. M., King, G., Dyer, S.. C., Jurkowski (2017). Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data. , 6, 465. https://doi.org/10.12688/f1000research.11301.1
Enke, M., Rahmani-Mofrad (2017). Genomics RNA-seq Analysis part 1-CyVerse DE, FastQC, Trimmomatic (updated 11/17). .
Es, J., Woodard (2017). Innovation in Agriculture and Food Systems in the Digital Age. , 97-104.
Espiritu, K.. M., Shin (2017). Assessment of SO2 Pollution in Central Park by DNA Barcoding of lichen specimens. .
Esteva, R., Walls (2017). Identifier services: tracking objects and metadata across time and distributed storage systems. , 85–86.
Farman, J., Peterson, G., Chen, L., Starnes, J., Valent, B., Bachi, P., Murdock, L., Hershman, D., Pedley, K., Fernandes, J.. M., Bavaresco (2017). The Lolium Pathotype of Magnaporthe oryzae Recovered from a Single Blasted Wheat Plant in the United States. , 101(5), 684-692. https://doi.org/10.1094/PDIS-05-16-0700-RE
Fedorov, K.. G., Kvilekval (2017). Scalable Image Informatics. .
Fischer, C.. A., Hancock, D.. Y., Lowe, J.. M., Turner, G., Snapp-Childs, W., Stewart (2017). Jetstream: A Cloud System Enabling Learning in Higher Education Communities. , 67-72. https://doi.org/10.1145/3123458.3123466
Fonner, R., Dooley (2017). Containerizing Conda. .
Fonseca, L.. G., Gimenez, D.. F.. J., dos Santos Silva, D.. B., Barthelson, R., Baldi, F., Ferro, J.. A., Albuquerque (2017). Differences in global gene expression in muscle tissue of Nellore cattle with divergent meat tenderness. , 18(1), 945. https://doi.org/10.1186/s12864-017-4323-0
Foster, D.. B., Gannon (2017). Cloud Computing for Science and Engineering. .
Friesner, S.. M., Assmann, S.. M., Bastow, R., Bailey-Serres, J., Beynon, J., Brendel, V., Buell, C.. R., Bucksch, A., Busch, W., Demura, T., Dinneny, J.. R., Doherty, C.. J., Eveland, A.. L., Falter-Braun, P., Gehan, M.. A., Gonzales, M., Grotewold, E., Gutierrez, R., Kramer, U., Krouk, G., Ma, S., Markelz, R.. C., Megraw, M., Meyers, B.. C., Murray, J.. A., Provart, N.. J., Rhee, S., Smith, R., Spalding, E.. P., Taylor, C., Teal, T.. K., Torii, K.. U., Town, C., Vaughn, M., Vierstra, R., Ware, D., Wilkins, O., Williams, C., Brady (2017). The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology. , 175(4), 1499-1509. https://doi.org/10.1104/pp.17.01490
Geniza, P., Jaiswal (2017). Tools for building de novo transcriptome assembly. , 12-Nov, 41-45. https://doi.org/10.1016/j.cpb.2017.12.004
Gillan, M., Karl, J., Elaksher, A., Duniway (2017). Fine-Resolution Repeat Topographic Surveying of Dryland Landscapes Using UAS-Based Structure-from-Motion Photogrammetry: Assessing Accuracy and Precision against Traditional Ground-Based Erosion Measurements. , 9(5), 437. https://doi.org/10.3390/rs9050437
Gilman, I.. S. (2017). Systematics of Chloropyron (Orobanchaceae): Implications of missing data on quartet-based species tree methods. .
Gnimpieba, C.. M., VanDiermen, M.. S., Gustafson, S.. M., Conn, B., Lushbough (2017). Bio-TDS: bioscience query tool discovery system. , 45(D1), D1117-D1122. https://doi.org/10.1093/nar/gkw940
Gorgolewski, R.. A., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M.. M., Churchill, N.. W., Cohen, A.. L., Craddock, R.. C., Devenyi, G.. A., Eklund, A., Esteban, O., Flandin, G., Ghosh, S.. S., Guntupalli, J.. S., Jenkinson, M., Keshavan, A., Kiar, G., Liem, F., Raamana, P.. R., Raffelt, D., Steele, C.. J., Quirion, P., Smith, R.. E., Strother, S.. C., Varoquaux, G., Wang, Y., Yarkoni, T., Poldrack (2017). BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. , 13(3), e1005209. https://doi.org/10.1371/journal.pcbi.1005209
Grealy, M., Rawlence, N., Bunce (2017). Time to Spread Your Wings: A Review of the Avian Ancient DNA Field. , 8(7), 184. https://doi.org/10.3390/genes8070184
Grover, E., Bomhoff, M., Davey, S., Gregory, B.. D., Mosher, R.. A., Lyons (2017). CoGe LoadExp+: A web-based suite that integrates next-generation sequencing data analysis workflows and visualization. , 1(2). https://doi.org/10.1002/pld3.8
Hacker, S., Dyke (2017). Cyberinfrastructure to Empower Scientific Research. , 483-495.
Hancock, D. (2017). Jetstream: Early Operations Performance, Adoption, and Impacts. , 7-Jul. https://doi.org/10.1145/3147213.3155104
Holdgraf, D., Culich, A., Rokem, A., Deniz, F., Alegro, M., Ushizima (2017). Portable learning environments for hands-on computational instruction: Using container- and cloud-based technology to teach data science. .
Howard-Varona, M.. B., Roux, S., Dore, H., Solonenko, N.. E., Holmfeldt, K., Markillie, L.. M., Orr, G., Sullivan (2017). Regulation of infection efficiency in a globally abundant marine Bacteriodetes virus. , 11(1), 284-295. https://doi.org/10.1038/ismej.2016.81
Hwang, K. (2017). Cloud Computing for Machine Learning and Cognitive Applications: A Machine Learning Approach. .
Hwang, M., Chen (2017). Big-data analytics for cloud, IoT and cognitive computing. .
Hyman, S., Espinosa, H., Camargo, P., Abreu, D., Devare, M., Arnaud, E., Porter, C., Mwanzia, L., Sonder, K., Traore (2017). Improving agricultural knowledge management: The AgTrials experience. , 6, 317. https://doi.org/10.12688/f1000research.11179.1
Iamartino, J.. L., Nicolazzi, E.. L., Van Tassell, C.. P., Reecy, J.. M., Fritz-Waters, E.. R., Koltes, J.. E., Biffani, S., Sonstegard, T.. S., Schroeder, S.. G., Ajmone-Marsan, P., Negrini, R., Pasquariello, R., Ramelli, P., Coletta, A., Garcia, J.. F., Ali, A., Ramunno, L., Cosenza, G., de Oliveira, D.. A.. A., Drummond, M.. G., Bastianetto, E., Davassi, A., Pirani, A., Brew, F., Williams (2017). Design and validation of a 90K SNP genotyping assay for the water buffalo (Bubalus bubalis). , 12(10), e0185220. https://doi.org/10.1371/journal.pone.0185220
Jamil, H.. M. (2017). A Visual Interface for Querying Heterogeneous Phylogenetic Databases. , 14(1), 131-144. https://doi.org/10.1109/TCBB.2016.2520943
Janssen, J.. M., Porter, C.. H., Moore, A.. D., Athanasiadis, I.. N., Foster, I., Jones, J.. W., Antle (2017). Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology. , 155, 200-212. https://doi.org/10.1016/j.agsy.2016.09.017
Jiang, R., Li, C., Sun, S., Paterson, A.. H., Xu (2017). <. i>(2021-10-12 2:55:12), 2017.
Jin, D.. C., Robinson, K., Lee, A., Polhill, J.. G., Pritchard, C., Parker (2017). A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models. , 96, 172-180. https://doi.org/10.1016/j.envsoft.2017.06.010
Joshi, D., Wang, J., Zhang, H., Chen, S., Zeng, S., Xu, B., Xu (2017). The Evolution of Soybean Knowledge Base (SoyKB). , 1533, 149-159.
Joyce, E., Haug-Baltzell, A.. K., Hulvey, J.. P., McCarthy, F., Devisetty, U.. K., Lyons (2017). Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms. (123), 55009. https://doi.org/10.3791/55009
Kang, R., Adams, J.. B., Gregory, A.. C., Borody, T., Chittick, L., Fasano, A., Khoruts, A., Geis, E., Maldonado, J., McDonough-Means, S., Pollard, E.. L., Roux, S., Sadowsky, M.. J., Lipson, K.. S., Sullivan, M.. B., Caporaso, J.. G., Krajmalnik-Brown (2017). Microbiota Transfer Therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study. , 5(1), 10. https://doi.org/10.1186/s40168-016-0225-7
Knepper, R. (2017). Shifting Modalities of Use in the XSEDE Project. .
Knepper, S., Coulter, E., Pierce, M., Marru, S., Pamidighantam (2017). Using the Jetstream Research Cloud to Provide Science Gateway Resources. , 753-757. https://doi.org/10.1109/CCGRID.2017.121
Krishnamurthy, S., Bradford, K., Calloway, C., Castillo, C., Conway, M., Coposky, J., Guo, Y., Idaszak, R., Lenhardt, W.. C., Robasky, K., Russell, T., Scott, E., Sliwowski, M., Stealey, M., Urgo, K., Xu, H., Yi, H., Ahalt (2017). xDCI, a data science cyberinfrastructure for interdisciplinary research. , 7-Jan. https://doi.org/10.1109/HPEC.2017.8091022
König, H., Weigelt, P., Kreft (2017). Dissecting global turnover in vascular plants: Global turnover in vascular plants. , 26(2), 228-242. https://doi.org/10.1111/geb.12536
Lamsal, P.. G., Welch, S., Jones, J., Boote, K., Asebedo, A., Crain, J., Wang, X., Boyer, W., Giri, A., Frink, E., Xu, X., Gundy, G., Ou, J., Arachchige (2017). Efficient crop model parameter estimation and site characterization using large breeding trial data sets. , 157, 170-184. https://doi.org/10.1016/j.agsy.2017.07.016
Levy, E.. A., Mendoza, A., Miller, J.. C., Tamborindeguy, C., Pierson (2017). Global gene expression in two potato cultivars in response to ‘Candidatus Liberibacter solanacearum’ infection. , 18(1), 960. https://doi.org/10.1186/s12864-017-4313-2
List, M. (2017). Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform. , 14(2). https://doi.org/10.1515/jib-2017-0016
Liu, G., Zhang, L., Wang, J., Li, C., Zeng, X., Xie, S., Zhang, Y., Liu, S., Hu, S., Wang, J., Lee, M., Lübberstedt, T., Zhao (2017). Quantitative Trait Locus Analysis for Deep-Sowing Germination Ability in the Maize IBM Syn10 DH Population. , 8, 813. https://doi.org/10.3389/fpls.2017.00813
Lobet, G. (2017). Image Analysis in Plant Sciences: Publish Then Perish. , 22(7), 559-566. https://doi.org/10.1016/j.tplants.2017.05.002
Lopes dos Santos, W., Pollina, T., Gourvil, P., Corre, E., Marie, D., Garrido, J.. L., Rodríguez, F., Noël, M., Vaulot, D., Eikrem (2017). Chloropicophyceae, a new class of picophytoplanktonic prasinophytes. , 7(1), 14019. https://doi.org/10.1038/s41598-017-12412-5
Luo, J., Gu, Y.. Q., Puiu, D., Wang, H., Twardziok, S.. O., Deal, K.. R., Huo, N., Zhu, T., Wang, L., Wang, Y., McGuire, P.. E., Liu, S., Long, H., Ramasamy, R.. K., Rodriguez, J.. C., Van, S.. L., Yuan, L., Wang, Z., Xia, Z., Xiao, L., Anderson, O.. D., Ouyang, S., Liang, Y., Zimin, A.. V., Pertea, G., Qi, P., Bennetzen, J.. L., Dai, X., Dawson, M.. W., Müller, H., Kugler, K., Rivarola-Duarte, L., Spannagl, M., Mayer, K.. F.. X., Lu, F., Bevan, M.. W., Leroy, P., Li, P., You, F.. M., Sun, Q., Liu, Z., Lyons, E., Wicker, T., Salzberg, S.. L., Devos, K.. M., Dvořák (2017). Genome sequence of the progenitor of the wheat D genome Aegilops tauschii. , 551(7681), 498-502. https://doi.org/10.1038/nature24486
Makarevitch, B., Martinez-Vaz (2017). Killing two birds with one stone: Model plant systems as a tool to teach the fundamental concepts of gene expression while analyzing biological data. , 1860(1), 166-173. https://doi.org/10.1016/j.bbagrm.2016.04.012
Manching, A.. E., Carlson, K., Kosowsky, S., Smitherman, C.. T., Stapleton (2017). Maize Phyllosphere Microbial Community Niche Development Across Stages of Host Leaf Growth. , 6, 1698. https://doi.org/10.12688/f1000research.12490.2
Miller, E.. P., Haase, N.. J., Lee, J., Kaeppler, S.. M., de Leon, N., Spalding (2017). A robust, high-throughput method for computing maize ear, cob, and kernel attributes automatically from images. , 89(1), 169-178. https://doi.org/10.1111/tpj.13320
Minervini, S.. A., Giuffrida, M.. V., Perata, P., Tsaftaris (2017). Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants. , 90(1), 204-216. https://doi.org/10.1111/tpj.13472
Molin, C.. A., Wright, A.. A., Lawton-Rauh, A., Saski (2017). The unique genomic landscape surrounding the EPSPS gene in glyphosate resistant Amaranthus palmeri: a repetitive path to resistance. , 18(1), 91. https://doi.org/10.1186/s12864-016-3336-4
Moller, C., Liang (2017). MetaCRAST: reference-guided extraction of CRISPR spacers from unassembled metagenomes. , 5, e3788.
Mondal, N.. K., Rawal, H.. C., Gaikwad, K., Sharma, T.. R., Singh (2017). First de novo draft genome sequence of Oryza coarctata, the only halophytic species in the genus Oryza. , 6, 1750. https://doi.org/10.12688/f1000research.12414.1
Monier, T.. A., Chambouvet, A., Milner, D.. S., Attah, V., Terrado, R., Lovejoy, C., Moreau, H., Santoro, A.. E., Derelle, É., Richards (2017). Host-derived viral transporter protein for nitrogen uptake in infected marine phytoplankton. , 114(36), E7489-E7498. https://doi.org/10.1073/pnas.1708097114
Morey, F.. M., Burek Huntington, K.. A., Campbell, M., Clauss, T.. M., Goertz, C.. E., Hobbs, R.. C., Lunardi, D., Moors, A.. J., Neely, M.. G., Schwacke, L.. H., Van Dolah (2017). De novo transcriptome assembly and RNA-Seq expression analysis in blood from beluga whales of Bristol Bay, AK. , 35, 77-92. https://doi.org/10.1016/j.margen.2017.08.001
Mozzherin, D.. J., Myltsev, A.. A., Patterson (2017). “gnparser”: a powerful parser for scientific names based on Parsing Expression Grammar. , 18(1), 279. https://doi.org/10.1186/s12859-017-1663-3
Muhammad, T.. A., Schmittling, S., Williams, C., Long (2017). More than meets the eye: Emergent properties of transcription factors networks in Arabidopsis. , 1860(1), 64-74. https://doi.org/10.1016/j.bbagrm.2016.07.017
Nasko, D.. J. (2017). Uncovering the Biological Features of Unknown Viruses Using Shotgun Metagenomic Sequence Data. .
Nelson, M.. A., Devisetty, U.. K., Palos, K., Haug-Baltzell, A.. K., Lyons, E., Beilstein (2017). Evolinc: a comparative transcriptomics and genomics pipeline for quickly identifying sequence conserved lincRNAs for functional analysis. .
Nelson, M.. A., Devisetty, U.. K., Palos, K., Haug-Baltzell, A.. K., Lyons, E., Beilstein (2017). Evolinc: A Tool for the Identification and Evolutionary Comparison of Long Intergenic Non-coding RNAs. , 8, 52. https://doi.org/10.3389/fgene.2017.00052
Nigro, G.. F., Jungbluth, S.. P., Lin, H., Hsieh, C., Miranda, J.. A., Schvarcz, C.. R., Rappé, M.. S., Steward (2017). Viruses in the Oceanic Basement. , 8(2), e02129-16, /mbio/8/2/e02129-16.atom. https://doi.org/10.1128/mBio.02129-16
Nualart, J., Ibáñez, N., Soriano, I., López-Pujol (2017). Assessing the Relevance of Herbarium Collections as Tools for Conservation Biology. , 83(3), 303-325. https://doi.org/10.1007/s12229-017-9188-z
Paez-Espino, N.. C., Pavlopoulos, G.. A., Ivanova, N.. N., Kyrpides (2017). Nontargeted virus sequence discovery pipeline and virus clustering for metagenomic data. , 12(8), 1673-1682. https://doi.org/10.1038/nprot.2017.063
Perrin, B.. J., Denorme, M., Grosjean, J., community, O., Dynomant, E., Henry, V.. J., Pichon, F., Darmoni, S., Desfeux, A., Gonzalez (2017). OMICtools: a community-driven search engine for biological data analysis. .
Rai, M., Saito, K., Yamazaki (2017). Integrated omics analysis of specialized metabolism in medicinal plants. , 90(4), 764-787. https://doi.org/10.1111/tpj.13485
Reyer, K., Shirali, M., Ponsuksili, S., Murani, E., Varley, P.. F., Jensen, J., Wimmers (2017). Exploring the genetics of feed efficiency and feeding behaviour traits in a pig line highly selected for performance characteristics. , 292(5), 1001-1011. https://doi.org/10.1007/s00438-017-1325-1
Riemer, E., Guralnick, R.. P., White (2017). No general relationship between mass and temperature in endothermic species. .
Robbins, J.. R., Dinneny (2017). Growth is required for perception of water availability to pattern plant root branches. .
Roux, M.. B., Emerson, J.. B., Eloe-Fadrosh, E.. A., Sullivan (2017). Benchmarking viromics: an in silico evaluation of metagenome-enabled estimates of viral community composition and diversity. , 5, e3817.
Roux, M.. B., Chan, L., Egan, R., Malmstrom, R.. R., McMahon, K.. D., Sullivan (2017). Ecogenomics of virophages and their giant virus hosts assessed through time series metagenomics. , 8(1), 858. https://doi.org/10.1038/s41467-017-01086-2
Roy, K., Mondal, A.. K., Roy, C.. K., Schneider, K.. A., Wazed (2017). Towards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks. , 41-50. https://doi.org/10.1109/ICSA.2017.42
Santana-Perez, O., Ferreira da Silva, R., Rynge, M., Deelman, E., Pérez-Hernández, M.. S., Corcho (2017). Reproducibility of execution environments in computational science using Semantics and Clouds. , 67, 354-367. https://doi.org/10.1016/j.future.2015.12.017
Satjarak, L.. E., Burns, J.. A., Kim, E., Graham (2017). Complete mitochondrial genomes of prasinophyte algae Pyramimonas parkeae and Cymbomonas tetramitiformis. , 53(3), 601-615. https://doi.org/10.1111/jpy.12521
Satjarak, L.. E., Graham (2017). Comparative DNA sequence analyses of Pyramimonas parkeae (Prasinophyceae) chloroplast genomes. , 53(2), 415-424. https://doi.org/10.1111/jpy.12515
Schneweis, D., Whitfield, A.. E., Rotenberg (2017). Thrips developmental stage-specific transcriptome response to tomato spotted wilt virus during the virus infection cycle in Frankliniella occidentalis, the primary vector. , 500, 226-237. https://doi.org/10.1016/j.virol.2016.10.009
Shahand, S., Olabarriaga (2017). Rosemary: a flexible programming framework to build Science Gateways. .
Shi, Z., Zhang, X., Mandel, M.. A., Zhang, P., Zhang, Y., Ferguson, M., Amuge, T., Rounsley, S., Liu, Z., Xiong (2017). Variations of five eIF4E genes across cassava accessions exhibiting tolerant and susceptible responses to cassava brown streak disease. , 12(8), e0181998. https://doi.org/10.1371/journal.pone.0181998
Singh, A.. K. (2017). Discovery and Role of Molecular Markers Involved in Gene Mapping, Molecular Breeding, and Genetic Diversity. , 303-328.
Sparks, P.. N., Benfey (2017). Tissue-Specific Transcriptome Profiling in Arabidopsis Roots. , 1610, 107-122.
Stanzione, M., Vaughn (2017). The New Advanced Computing Landscape: Opportunities for Molecular Biology. , 55.
Stucky, R., Walls, R., Deck, J., Denny, E., Bolmgren, K., Guralnick (2017). An Update on the Plant Phenology Ontology and Plant Phenology Data Integration. , 1, e20487. https://doi.org/10.3897/tdwgproceedings.1.20487
Swetnam, E.. L., Brooks, P.. D., Barnard, H.. R., Harpold, A.. A., Gallo (2017). Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration. , 8(4), e01797. https://doi.org/10.1002/ecs2.1797
Taber, L., Sumida, M., McClure (2017). Teaching Gifted Learners in STEM Subjects: Developing talent in science, technology, engineering and mathematics. .
Tardieu, M., Cabrera-Bosquet, L., Pridmore, T., Bennett (2017). Plant Phenomics, From Sensors to Knowledge. , 27(15), R770-R783. https://doi.org/10.1016/j.cub.2017.05.055
Trail, J.. P., Wang, Z., Stefanko, K., Cubba, C., Townsend (2017). The ancestral levels of transcription and the evolution of sexual phenotypes in filamentous fungi. , 13(7), e1006867. https://doi.org/10.1371/journal.pgen.1006867
Vaidya, G.. G. (2017). Taxonomic Checklists as Biodiversity Data: How Series of Checklists can Provide Information on Synonymy, Circumscription Change and Taxonomic Discovery. .
Van Es, J., Woodard (2017). Innovation in agriculture and food systems in the digital age. , 97–104.
Walls, P.. L., Buttigieg (2017). Semantically Defining Populations for 'Omics Research. , 1, e20435. https://doi.org/10.3897/tdwgproceedings.1.20435
Wang, H., Xu (2017). Formalizing Data Management Systems: A Case Study of Syndicate Protocol. , 1031–1034.
Wang, X.. H., Tian, L., Goldstein, A., Liu, J., Lo, H., Sheng, K., Welte, T., Wong, S.. T., Gugala, Z., Stossi, F., Zong, C., Li, Z., Mancini, M.. A., Zhang (2017). Bone-in-culture array as a platform to model early-stage bone metastases and discover anti-metastasis therapies. , 8(1), 15045. https://doi.org/10.1038/ncomms15045
Weber, J. (2017). Idiomatic and Reproducible Software Builds using Containers for Reliable Computing. .
Weirauch, P.. S., Seltmann, K.. C., Schuh, R.. T., Schwartz, M.. D., Johnson, C., Feist, M.. A., Soltis (2017). Areas of endemism in the Nearctic: a case study of 1339 species of Miridae (Insecta: Hemiptera) and their plant hosts. , 33(3), 279-294. https://doi.org/10.1111/cla.12169
Williams, T.. K., Teal (2017). A vision for collaborative training infrastructure for bioinformatics: Training infrastructure for bioinformatics. , 1387(1), 54-60. https://doi.org/10.1111/nyas.13207
Willis, C., Lambert, M., McHenry, K., Kirkpatrick (2017). Container-based Analysis Environments for Low-Barrier Access to Research Data. , 4-Jan. https://doi.org/10.1145/3093338.3104164
Xu, I.. T., Brockmöller, T., Navarro-Quezada, A., Kuhl, H., Gase, K., Ling, Z., Zhou, W., Kreitzer, C., Stanke, M., Tang, H., Lyons, E., Pandey, P., Pandey, S.. P., Timmermann, B., Gaquerel, E., Baldwin (2017). Wild tobacco genomes reveal the evolution of nicotine biosynthesis. , 114(23), 6133-6138. https://doi.org/10.1073/pnas.1700073114
Yang, J., Mezmouk, S., Baumgarten, A., Buckler, E.. S., Guill, K.. E., McMullen, M.. D., Mumm, R.. H., Ross-Ibarra (2017). Incomplete dominance of deleterious alleles contributes substantially to trait variation and heterosis in maize. , 13(9), e1007019. https://doi.org/10.1371/journal.pgen.1007019
Yang, J.. W., Troup, M., Ho (2017). Scalability and Validation of Big Data Bioinformatics Software. , 15, 379-386. https://doi.org/10.1016/j.csbj.2017.07.002
Yang, Y., Yu, M., Hu, F., Jiang, Y., Li (2017). Utilizing Cloud Computing to address big geospatial data challenges. , 61, 120-128. https://doi.org/10.1016/j.compenvurbsys.2016.10.010
Zajitschek, M., Zajitschek, S., Manier (2017). High-protein paternal diet confers an advantage to sons in sperm competition. , 13(2), 20160914. https://doi.org/10.1098/rsbl.2016.0914
Zhang, D., Chu, S., Zhang (2017). Transcriptome Dataset of Soybean (Glycine max) Grown under Phosphorus-Deficient and -Sufficient Conditions. , 2(2), 17. https://doi.org/10.3390/data2020017
Zhang, S.. J., Schmidt, C.. J., Lamont (2017). Transcriptome analysis reveals potential mechanisms underlying differential heart development in fast- and slow-growing broilers under heat stress. , 18(1), 295. https://doi.org/10.1186/s12864-017-3675-9
Zhao, I.. L., others, L., Song, C.. X., Kalyanam, R., Biehl, L., Campbell, R., Delgass, L., Kearney, D., Wan, W., Shin, J., Kim (2017). GABBs-Reusable Geospatial Data Analysis Building Blocks for Science Gateways.. .
Zou, Z., Li, J., Zhou, Q., Quan (2017). MIPE: A metagenome-based community structure explorer and SSU primer evaluation tool. , 12(3), e0174609. https://doi.org/10.1371/journal.pone.0174609
2016
Afgan, J., Baker, D., van den Beek, M., Blankenberg, D., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Eberhard, C., Grüning, B., Guerler, A., Hillman-Jackson, J., Von Kuster, G., Rasche, E., Soranzo, N., Turaga, N., Taylor, J., Nekrutenko, A., Goecks (2016). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. , 44(W1), W3-W10. https://doi.org/10.1093/nar/gkw343
An, C., Palmer, C.. M., Baker, R.. L., Markelz, R.. C., Ta, J., Covington, M.. F., Maloof, J.. N., Welch, S.. M., Weinig (2016). Plant high-throughput phenotyping using photogrammetry and imaging techniques to measure leaf length and rosette area. , 127, 376-394. https://doi.org/10.1016/j.compag.2016.04.002
Antin, P. (2016). Introducing CyVerse. , W242.
Ariani, L., Romeo, S., Groover, A.. T., Sebastiani (2016). Comparative epigenomic and transcriptomic analysis of Populus roots under excess Zn. , 132, 16-27. https://doi.org/10.1016/j.envexpbot.2016.08.005
Augustine, R.. D., York, S.. L., Rytz, T.. C., Vierstra (2016). Defining the SUMO System in Maize: SUMOylation Is Up-Regulated during Endosperm Development and Rapidly Induced by Stress. , 171(3), 2191-2210. https://doi.org/10.1104/pp.16.00353
Baldeck, G.. P., Tupayachi, R., Sinca, F., Jaramillo, N., Asner (2016). Environmental drivers of tree community turnover in western Amazonian forests. , 39(11), 1089-1099. https://doi.org/10.1111/ecog.01575
Barker, D.. A., Arrigo, N., Baniaga, A.. E., Li, Z., Levin (2016). On the relative abundance of autopolyploids and allopolyploids. , 210(2), 391-398. https://doi.org/10.1111/nph.13698
Bassi, S.. F., Ghavami, F., Hayden, M.. J., Wang, Y., Forrest, K.. L., Kong, S., Dizon, R., Michalak de Jimenez, M.. K., Meinhardt, S.. W., Mergoum, M., Gu, Y.. Q., Kianian (2016). Fast-forward genetics by radiation hybrids to saturate the locus regulating nuclear-cytoplasmic compatibility in Triticum. , 14(8), 1716-1726. https://doi.org/10.1111/pbi.12532
Berton, F., Fonseca, L.. F.. S., Gimenez, D.. F.. J., Utembergue, B.. L., Cesar, A.. S.. M., Coutinho, L.. L., de Lemos, M.. V.. A., Aboujaoude, C., Pereira, A.. S.. C., Silva, R.. M.. d.. O., Stafuzza, N.. B., Feitosa, F.. L.. B., Chiaia, H.. L.. J., Olivieri, B.. F., Peripolli, E., Tonussi, R.. L., Gordo, D.. M., Espigolan, R., Ferrinho, A.. M., Mueller, L.. F., de Albuquerque, L.. G., de Oliveira, H.. N., Duckett, S., Baldi (2016). Gene expression profile of intramuscular muscle in Nellore cattle with extreme values of fatty acid. , 17(1), 972. https://doi.org/10.1186/s12864-016-3232-y
Billah, R.. W., Goodall, J.. L., Narayan, U., Essawy, B.. T., Lakshmi, V., Rajasekar, A., Moore (2016). Using a data grid to automate data preparation pipelines required for regional-scale hydrologic modeling. , 78, 31-39. https://doi.org/10.1016/j.envsoft.2015.12.010
Blank, R.. L., Cui, H., Moore, L.. R., Walls (2016). MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions. , 7(1), 18. https://doi.org/10.1186/s13326-016-0060-6
Bombarely, C., Moser, M., Amrad, A., Bao, M., Bapaume, L., Barry, C.. S., Bliek, M., Boersma, M.. R., Borghi, L., Bruggmann, R., Bucher, M., D'Agostino, N., Davies, K., Druege, U., Dudareva, N., Egea-Cortines, M., Delledonne, M., Fernandez-Pozo, N., Franken, P., Grandont, L., Heslop-Harrison, J.. S., Hintzsche, J., Johns, M., Koes, R., Lv, X., Lyons, E., Malla, D., Martinoia, E., Mattson, N.. S., Morel, P., Mueller, L.. A., Muhlemann, J., Nouri, E., Passeri, V., Pezzotti, M., Qi, Q., Reinhardt, D., Rich, M., Richert-Pöggeler, K.. R., Robbins, T.. P., Schatz, M.. C., Schranz, M.. E., Schuurink, R.. C., Schwarzacher, T., Spelt, K., Tang, H., Urbanus, S.. L., Vandenbussche, M., Vijverberg, K., Villarino, G.. H., Warner, R.. M., Weiss, J., Yue, Z., Zethof, J., Quattrocchio, F., Sims, T.. L., Kuhlemeier (2016). Insight into the evolution of the Solanaceae from the parental genomes of Petunia hybrida. , 2(6), 16074. https://doi.org/10.1038/nplants.2016.74
Bomhoff, M. (2016). Next-Gen Sequence Analysis in CoGe: Read Alignment, Expression Analysis, SNP Identification, and What's to Come. , W411.
Boyle, A.. A., Thompson, C.. L., Deluycker, A., Alvarez, S.. J., Alvim, T.. H., Aquino, R., Bezerra, B.. M., Boubli, J.. P., Bowler, M., Caselli, C.. B., Chagas, R.. R., Ferrari, S.. F., Fontes, I.. P., Gregory, T., Haugaasen, T., Heiduck, S., Hores, R., Lehman, S., de Melo, F.. R., Moreira, L.. S., Moura, V.. S., Nagy-Reis, M.. B., Palacios, E., Palminteri, S., Peres, C.. A., Pinto, L., Port-Carvalho, M., Rodríguez, A., dos Santos, R.. R., Setz, E.. Z., Shaffer, C.. A., Silva, F.. E., Soares da Silva, R.. F., Souza-Alves, J.. P., Trevelin, L.. C., Veiga, L.. M., Vieira, T.. M., DuBose, M.. E., Barnett (2016). Geographic comparison of plant genera used in frugivory among the pitheciids Cacajao , Callicebus , Chiropotes , and Pithecia: Geographic Patterns in Pitheciid Frugivory. , 78(5), 493-506. https://doi.org/10.1002/ajp.22422
Brooks, S.. S., Heidorn, P.. B., Stahlman, G.. R., Chong (2016). Working beyond the confines of academic discipline to resolve a real-world problem: A community of scientists discussing long-tail data in the cloud. , 21(2). https://doi.org/10.5210/fm.v21i2.6103
Brozynska, M. (2016). Genomic characterisation of Australian wild rice species. .
Brum, J.. R., Ignacio-Espinoza, J.. C., Kim, E., Trubl, G., Jones, R.. M., Roux, S., VerBerkmoes, N.. C., Rich, V.. I., Sullivan, M.. B. (2016). Illuminating structural proteins in viral “dark matter” with metaproteomics. Proceedings of the National Academy of Sciences, 113(9), 2436-2441. https://doi.org/10.1073/pnas.1525139113
Brum, M.. B., Hurwitz, B.. L., Schofield, O., Ducklow, H.. W., Sullivan (2016). Seasonal time bombs: dominant temperate viruses affect Southern Ocean microbial dynamics. , 10(2), 437-449. https://doi.org/10.1038/ismej.2015.125
Burris, J.. N. (2016). Nanocomposite Adhesive of English ivy (Hedera helix): Bioproduction, Nanoparticle Isolation, and Molecular Analysis. .
Buttigieg, C.. J., Jensen, M., Walls, R.. L., Mungall (2016). Environmental Semantics for Sustainable Development in an Interconnected Biosphere.. .
Buttigieg, C.. J., Pafilis, E., Lewis, S.. E., Schildhauer, M.. P., Walls, R.. L., Mungall (2016). The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation. , 7(1), 57. https://doi.org/10.1186/s13326-016-0097-6
Cahill, J.. S., Levinton (2016). Genetic differentiation and reduced genetic diversity at the northern range edge of two species with different dispersal modes. , 25(2), 515-526. https://doi.org/10.1111/mec.13497
Castelaanos, J.. D. (2016). Integrated, Accurate and Multi-Environment Structural Variation Discovery from Whole Genome Sequencing Data with NGSEP. , P19823.
Center for Molecular Biology, Y., Tilahun (2016). Genome-wide transcriptome profiling of Gossypium spp. roots during early growth after infection with Rotylenchulus reniformis. , 9(3), 198-204. https://doi.org/10.21475/poj.16.09.03.p7816
Chakrabarti, A.. G., Dinkins, R.. D., Hunt (2016). De novo Transcriptome Assembly and Dynamic Spatial Gene Expression Analysis in Red Clover. , 9(2), 0. https://doi.org/10.3835/plantgenome2015.06.0048
Chard, I., Lidman, M., McCollam, B., Bryan, J., Ananthakrishnan, R., Tuecke, S., Foster (2016). Globus Nexus: A Platform-as-a-Service provider of research identity, profile, and group management. , 56, 571-583. https://doi.org/10.1016/j.future.2015.09.006
Chard, I., Tuecke, S., Foster (2016). Globus: Recent Enhancements and Future Plans. , 8-Jan. https://doi.org/10.1145/2949550.2949554
Church, A.. M., Goscinski (2016). Data and data servers exposed as services integrated in a cloud. , 5(4), 264. https://doi.org/10.1504/IJCC.2016.080901
Cooper, P., Jaiswal (2016). The Plant Ontology: A Tool for Plant Genomics. , 1374, 89-114.
Cooper, P., others, L., Meier, A., Elser, J., Preece, J., Xu, X., Kitchen, R., Qu, B., Zhang, E., Todorovic, S., Jaiswal (2016). The Planteome Project.. .
Cottingham, R.. W.. e.. a. (2016). The DOE Systems Biology Knowledgebase (KBase): Introduction to a System for Collaborative and Reproducible Inference and Modeling of Biological Function. , P1278.
Coulter, C., Fischer, J., Hallock, B., Knepper, R., Lifka, D., Navarro, J., Pierce, M., Stewart (2016). Cyberinfrastructure as a Platform to Facilitate Effective Collaboration between Institutions and Support Collaboratories. , 37-42. https://doi.org/10.1145/2974927.2974962
Cruz-Garcia, D.. E., Struik, P.. C., Johnson (2016). Wild harvest: distribution and diversity of wild food plants in rice ecosystems of Northeast Thailand. , 78, 11-Jan. https://doi.org/10.1016/j.njas.2015.12.003
Cuevas, A.. H., Zhou, C., Tang, H., Khadke, P.. P., Das, S., Lin, Y., Ge, Z., Clemente, T., Upadhyaya, H.. D., Hash, C.. T., Paterson (2016). The Evolution of Photoperiod-Insensitive Flowering in Sorghum, A Genomic Model for Panicoid Grasses. , 33(9), 2417-2428. https://doi.org/10.1093/molbev/msw120
Cutcher-Gershenfeld, I., Baker, K.. S., Berente, N., Carter, D.. R., DeChurch, L.. A., Flint, C.. C., Gershenfeld, G., Haberman, M., King, J.. L., Kirkpatrick, C., Knight, E., Lawrence, B., Lewis, S., Lenhardt, W.. C., Lopez, P., Mayernik, M.. S., McElroy, C., Mittleman, B., Nichol, V., Nolan, M., Shin, N., Thompson, C.. A., Winter, S., Zaslavsky (2016). Build It, But Will They Come? A Geoscience Cyberinfrastructure Baseline Analysis. , 15(0), 8. https://doi.org/10.5334/dsj-2016-008
Das, D.. L., Pitts, N.. L., Mudron, M.. R., Durica, D.. S., Mykles (2016). Transcriptome analysis of the molting gland (Y-organ) from the blackback land crab, Gecarcinus lateralis. , 17, 26-40. https://doi.org/10.1016/j.cbd.2015.11.003
Dash, S.. B., Campbell, J.. D., Cannon, E.. K., Cleary, A.. M., Huang, W., Kalberer, S.. R., Karingula, V., Rice, A.. G., Singh, J., Umale, P.. E., Weeks, N.. T., Wilkey, A.. P., Farmer, A.. D., Cannon (2016). Legume information system (LegumeInfo.org): a key component of a set of federated data resources for the legume family. , 44(D1), D1181-D1188. https://doi.org/10.1093/nar/gkv1159
Davey, P., Pernice, M., Sablok, G., Larkum, A., Lee, H.. T., Golicz, A., Edwards, D., Dolferus, R., Ralph (2016). The emergence of molecular profiling and omics techniques in seagrass biology. furthering our understanding of seagrasses, 5. https://doi.org/1438-793X, 1438-7948
DeBarry, J. (2016). Integration of CoGe's Data Services in iPlant. , W415.
DeBarry, J. (2016). How to do Big-Data Science - Data Management for Genomics. , W246.
Devisetty, E., Kennedy, K., Sarando, P., Merchant, N., Lyons (2016). Bringing your tools to CyVerse Discovery Environment using Docker. , 5, 1442. https://doi.org/10.12688/f1000research.8935.1
Dill, C. (2016). Genomes to Fields (G2F). , W585.
Doughty, M., Wolf, A., Morueta-Holme, N., Jørgensen, P.. M., Sandel, B., Violle, C., Boyle, B., Kraft, N.. J.. B., Peet, R.. K., Enquist, B.. J., Svenning, J., Blake, S., Galetti (2016). Megafauna extinction, tree species range reduction, and carbon storage in Amazonian forests. , 39(2), 194-203. https://doi.org/10.1111/ecog.01587
Dvorak, J. (2016). Reference Sequence of the Genome of Aegilops tauschii, the Progenitor of the Wheat D Genome. , W972.
Engel, B., Kwong, W.. K., McFrederick, Q., Anderson, K.. E., Barribeau, S.. M., Chandler, J.. A., Cornman, R.. S., Dainat, J., de Miranda, J.. R., Doublet, V., Emery, O., Evans, J.. D., Farinelli, L., Flenniken, M.. L., Granberg, F., Grasis, J.. A., Gauthier, L., Hayer, J., Koch, H., Kocher, S., Martinson, V.. G., Moran, N., Munoz-Torres, M., Newton, I., Paxton, R.. J., Powell, E., Sadd, B.. M., Schmid-Hempel, P., Schmid-Hempel, R., Song, S.. J., Schwarz, R.. S., vanEngelsdorp, D., Dainat (2016). The Bee Microbiome: Impact on Bee Health and Model for Evolution and Ecology of Host-Microbe Interactions. , 7(2), e02164-15, /mbio/7/2/e02164-15.atom. https://doi.org/10.1128/mBio.02164-15
Engemann, J., Sandel, B., Enquist, B.. J., Jørgensen, P.. M., Kraft, N., Marcuse-Kubitza, A., McGill, B., Morueta-Holme, N., Peet, R.. K., Violle, C., Wiser, S., Svenning (2016). Patterns and drivers of plant functional group dominance across the Western Hemisphere: a macroecological re-assessment based on a massive botanical dataset. , 180(2), 141-160. https://doi.org/10.1111/boj.12362
Farmer, A.. D.. e.. a. (2016). The Legume Information System and The Legume Federation: Working Together for the Legume-Fed. , C18.
Foster, I. (2016). Reasoning About Discovery Clouds. , 9698, 10-Mar.
Foster, S., Chard, K., Tuecke (2016). The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale. , 68-77. https://doi.org/10.1109/IC2E.2016.46
Freese, A.. E., Norris, D.. C., Loraine (2016). Integrated genome browser: visual analytics platform for genomics. , 32(14), 2089-2095. https://doi.org/10.1093/bioinformatics/btw069
Fritz-Waters, E. (2016). The iPlant Agave Application Program Interface, High Performance Computing, and You (the COmputationally Competent). , W245.
Furfaro, R., Linares, R., Gaylor, D., Jah, M., Walls (2016). Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks. .
Gardiner, A., Bansept-Basler, P., Olohan, L., Joynson, R., Brenchley, R., Hall, N., O'Sullivan, D.. M., Hall (2016). Mapping-by-sequencing in complex polyploid genomes using genic sequence capture: a case study to map yellow rust resistance in hexaploid wheat. , 87(4), 403-419. https://doi.org/10.1111/tpj.13204
Gardiner, J. (2016). Data Management and Analysis Solutions for Maize Predictive Phenomics: A Partnership with the GxE Subgroup of the Genomes to Fields (G2F) Initiative. , P0319.
Gill, D., Haugen, R., Matzner, S., Barakat, A., Siemens (2016). Effect of Drought on Herbivore-Induced Plant Gene Expression: Population Comparison for Range Limit Inferences. , 5(1), 13. https://doi.org/10.3390/plants5010013
Goldsmith, B.. J., Morueta-Holme, N., Sandel, B., Fitz, E.. D., Fitz, S.. D., Boyle, B., Casler, N., Engemann, K., Jørgensen, P.. M., Kraft, N.. J.. B., McGill, B., Peet, R.. K., Piel, W.. H., Spencer, N., Svenning, J., Thiers, B.. M., Violle, C., Wiser, S.. K., Enquist (2016). Plant-O-Matic : a dynamic and mobile guide to all plants of the Americas. , 7(8), 960-965. https://doi.org/10.1111/2041-210X.12548
Goller, C.. C. (2016). Sifting Through Metagenomes using the iPlant Discovery Environment. , W558.
Grossman, W., Heath, A., Murphy, M., Patterson, M., Wells (2016). A Case for Data Commons: Towards Data Science as a Service. .
Grossman, W., Heath, A., Murphy, M., Patterson, M., Wells (2016). A Case for Data Commons: Toward Data Science as a Service. , 18(5), 20-Oct. https://doi.org/10.1109/MCSE.2016.92
Gunadi, J.. J., Rushton, P.. J., McHale, L.. K., Gutek, A.. H., Finer (2016). Characterization of 40 soybean (Glycine max) promoters, isolated from across 5 thematic gene groups. , 127(1), 145-160. https://doi.org/10.1007/s11240-016-1038-x
Gupta, T., Bencurova, E., Srivastava, M., Pahlavan, P., Balkenhol, J., Dandekar (2016). Improving Re-annotation of Annotated Eukaryotic Genomes. , 171-195.
Guralnick, L., Zermoglio, P.. F., Wieczorek, J., LaFrance, R., Bloom, D., Russell (2016). The importance of digitized biocollections as a source of trait data and a new VertNet resource. , 2016, baw158. https://doi.org/10.1093/database/baw158
Halse-Gramkow, C.. H., Ernst, M., Rønsted, N., Dunn, R.. R., Saslis-Lagoudakis (2016). Using evolutionary tools to search for novel psychoactive plants. , 14(4), 246-255. https://doi.org/10.1017/S1479262116000344
Hamilton, R.. S., Kapusta, A., Huvos, P.. E., Bidwell, S.. L., Zafar, N., Tang, H., Hadjithomas, M., Krishnakumar, V., Badger, J.. H., Caler, E.. V., Russ, C., Zeng, Q., Fan, L., Levin, J.. Z., Shea, T., Young, S.. K., Hegarty, R., Daza, R., Gujja, S., Wortman, J.. R., Birren, B.. W., Nusbaum, C., Thomas, J., Carey, C.. M., Pritham, E.. J., Feschotte, C., Noto, T., Mochizuki, K., Papazyan, R., Taverna, S.. D., Dear, P.. H., Cassidy-Hanley, D.. M., Xiong, J., Miao, W., Orias, E., Coyne (2016). Structure of the germline genome of Tetrahymena thermophila and relationship to the massively rearranged somatic genome. , 5, e19090. https://doi.org/10.7554/eLife.19090
Harris, S. (2016). Using DNA Barcoding and Educational Bioinformatics to Create Authentic Research Experiences for Science Students. , W556.
Haug-Baltzell, L.. M., Males, J.. R., Morzinski, K.. M., Wu, Y., Merchant, N., Lyons, E., Close (2016). High-contrast imaging in the cloud with klipReduce and Findr. , 99130F. https://doi.org/10.1117/12.2234095
Hendre, P. (2016). African Orphan Crops Consortium: a Global Partnership to Address Food and Nutritional Requirements in Africa through Genomics Applications. , P1309.
Henzen, L., Mäs, S., Zander, F., Schroeder, M., Bernard (2016). Representing research collaborations and linking scientific project results in spatial data infrastructures by provenance information. .
Herndon, J.. L., Grau, E.. S., Batra, I., Demurjian Jr., S.. A., Vasquez-Gross, H.. A., Staton, M.. E., Wegrzyn (2016). CartograTree: Enabling landscape genomics for forest trees. .
Heyduk, T.. C., Stephens, J.. D., Faircloth, B.. C., Glenn (2016). Targeted DNA Region Re-sequencing. , 43-68.
Hintsch, K., Görling, C., Turowski (2016). A Review of the Literature on Configuration Management Tools.. , 71.
Hoopen, P., Walls, R.. L., Cannon, E.. K.. S., Cochrane, G., Cole, J., Johnston, A., Karsch-Mizrachi, I., Yilmaz (2016). Plant specimen contextual data consensus. , 5(1). https://doi.org/10.1093/gigascience/giw002
Hubbard, A. (2016). fRNAkenseq: a Powered-by-iPlant RNA Sequencing Analysis Platform. , P0358.
Jaiswal, B., Usadel (2016). Plant Pathway Databases. , 1374, 71-87.
Johnson, R. (2016). iPlantUK: Creating User Friendly RNA-Seq and Mapping by Sequencing Workflows. , P1292.
Joyce, E., Haug-Baltzell, A., Davey, S., Bomhoff, M., Schnable, J.. C., Lyons (2016). FractBias: a graphical tool for assessing fractionation bias following polyploidy. , btw666. https://doi.org/10.1093/bioinformatics/btw666
Kang, Y. (2016). An investigation of pelagophyte ecology. .
Kelly, T., Vatsa, A., Mayham, W., Kazic (2016). Extracting complex lesion phenotypes in Zea mays. , 27(1), 145-156. https://doi.org/10.1007/s00138-015-0718-6
Kelly, T., Vatsa, A., Mayham, W., Ngô, L., Thompson, A., Kazic (2016). An opinion on imaging challenges in phenotyping field crops. , 27(5), 681-694. https://doi.org/10.1007/s00138-015-0728-4
Kim, K., Ali, T., Hosmer, S., Krampis (2016). Visual Omics Explorer (VOE): a cross-platform portal for interactive data visualization. , 32(13), 2050-2052. https://doi.org/10.1093/bioinformatics/btw119
King abdulaziz University Jeddah SaudiArabia, F., Ashraf, M.. U., Fouz, F., Alboraei Eassa (2016). Empirical Analysis of HPC Using Different Programming Models. , 8(6), 27-34. https://doi.org/10.5815/ijmecs.2016.06.04
Kittelmann, L., Hawes, C., Hughes (2016). Serial block face scanning electron microscopy and the reconstruction of plant cell membrane systems: SBFSEM METHODS FOR PLANT CELLS. , 263(2), 200-211. https://doi.org/10.1111/jmi.12424
Knecht, H., Campbell, M.. T., Caprez, A., Swanson, D.. R., Walia (2016). Image Harvest: an open-source platform for high-throughput plant image processing and analysis. , 67(11), 3587-3599. https://doi.org/10.1093/jxb/erw176
Koureas, V., Hardisty, A., Vos, R., Agosti, D., Arvanitidis, C., Bogatencov, P., Buttigieg, P.. L., de Jong, Y., Horvath, F., Gkoutos, G., Groom, Q., Kliment, T., Kõljalg, U., Manakos, I., Marcer, A., Marhold, K., Morse, D., Mergen, P., Penev, L., Pettersson, L., Svenning, J., van de Putte, A., Smith (2016). Unifying European Biodiversity Informatics (BioUnify). , 2, e7787. https://doi.org/10.3897/rio.2.e7787
Krishnakumar, V. (2016). Teaching Bioinformatics Data Analysis Using Cloud Computing Technology. , W940.
Kyrpides, N.. N., Eloe-Fadrosh, E.. A., Ivanova (2016). Microbiome Data Science: Understanding Our Microbial Planet. , 24(6), 425-427. https://doi.org/10.1016/j.tim.2016.02.011
Lambirth, K.. L., Whaley, A.. M., Schlueter, J.. A., Piller, K.. J., Bost (2016). Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant of Glycine max. , 2016, 12-Jan. https://doi.org/10.1155/2016/1562041
Larkin, A.. T., Jacobi, S.. K., Hipp, A.. L., Kramer (2016). Keeping All the PIECES: Phylogenetically Informed Ex Situ Conservation of Endangered Species. , 11(6), e0156973. https://doi.org/10.1371/journal.pone.0156973
Lee, J. (2016). Creating a Positive Space to Train Native Americans / American Indians / Alaskan Natives in Genomics. , W560.
Leipzig, J. (2016). A review of bioinformatic pipeline frameworks. , bbw020. https://doi.org/10.1093/bib/bbw020
Lenhardt, A., Conway, M., Scott, E., Blanton, B., Krishnamurthy, A., Hadzikadic, M., Vouk, M., Wilson (2016). Cross-institutional research cyberinfrastructure for data intensive science. , 6-Jan. https://doi.org/10.1109/HPEC.2016.7761597
Leonelli, S. (2016). Data-centric biology: A philosophical study. .
Liu, T., Khan, S.. M., Wang, J., Rynge, M., Zhang, Y., Zeng, S., Chen, S., Maldonado dos Santos, J.. V., Valliyodan, B., Calyam, P.. P., Merchant, N., Nguyen, H.. T., Xu, D., Joshi (2016). PGen: large-scale genomic variations analysis workflow and browser in SoyKB. , 17(S13), 337. https://doi.org/10.1186/s12859-016-1227-y
Liu, Y., Shi, J., Sun, C., Gong, H., Fan, X., Qiu, F., Huang, X., Feng, Q., Zheng, X., Yuan, N., Li, C., Zhang, Z., Deng, Y., Wang, J., Pan, G., Han, B., Lai, J., Wu (2016). Gene duplication confers enhanced expression of 27-kDa γ-zein for endosperm modification in quality protein maize. , 113(18), 4964-4969. https://doi.org/10.1073/pnas.1601352113
Luo, M. (2016). Integrated Approach Towards Sequencing a Large and Complex Genome - iPlant Portal Facilitates Management of Big Data. , W243.
Lushbough, C. (2016). Bioinformatics Tutorials leveraging the BioExtract Server. , W936.
López de Heredia, J.. L., Vázquez-Poletti (2016). RNA-seq analysis in forest tree species: bioinformatic problems and solutions. , 12(2), 30. https://doi.org/10.1007/s11295-016-0995-x
Macrander, J.. C. (2016). Venomics of Sea Anemones: A Bioinformatic Approach to Tissue Specific Venom Composition and Toxin Gene Family Evolution.. .
Macrander, M., Broe, M., Daly (2016). Tissue-Specific Venom Composition and Differential Gene Expression in Sea Anemones. , 8(8), 2358-2375. https://doi.org/10.1093/gbe/evw155
Malik, A. (2016). Genomics Resources for Plants. , 29-57.
Marla, S.. R. (2016). Functional Genomics of Seedling Cold Adaptation in Sorghum bicolor. , P1305.
Martin, H.. A., Ahn, A.. N., Earley, R., Ghalambor, C.. K., Woods (2016). Editorial for Integrative and Comparative Biology : Table 1. , 56(5), 755-757. https://doi.org/10.1093/icb/icw114
Martinez, M. (2016). Computational tools for genomic studies in plants. , 17(6), 509–514.
Martinez, N.. R., Koenig, D., Chitwood, D.. H., Sinha (2016). A sister of PIN1 gene in tomato ( Solanum lycopersicum) defines leaf and flower organ initiation patterns by maintaining epidermal auxin flux. , 419(1), 85-98. https://doi.org/10.1016/j.ydbio.2016.08.011
Martinez, N., Koenig, D., Chitwood, D.. H., Sinha (2016). A Sister of PIN1 gene in tomato (Solanum lycopersicum) defines organ initiation patterns by maintaining epidermal auxin flux. .
Maya-Lastra, C.. A. (2016). ColectoR, a Digital Field Notebook for Voucher Specimen Collection for Smartphones. , 4(7), 1600035. https://doi.org/10.3732/apps.1600035
McKain, J.. H., Tang, H., McNeal, J.. R., Ayyampalayam, S., Davis, J.. I., dePamphilis, C.. W., Givnish, T.. J., Pires, J.. C., Stevenson, D.. W., Leebens-Mack (2016). A phylogenomic assessment of ancient polyploidy and genome evolution across the Poales. , evw060. https://doi.org/10.1093/gbe/evw060
McNutt, J.. L., Lehnert, K., Hanson, B., Nosek, B.. A., Ellison, A.. M., King (2016). Liberating field science samples and data. , 351(6277), 1024-1026. https://doi.org/10.1126/science.aad7048
Merchant, P., Lyons, E., Goff, S., Vaughn, M., Ware, D., Micklos, D., Antin (2016). The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences. , 14(1), e1002342. https://doi.org/10.1371/journal.pbio.1002342
Michaletz, B.. J., Weiser, M.. D., McDowell, N.. G., Zhou, J., Kaspari, M., Helliker, B.. R., Enquist (2016). The energetic and carbon economic origins of leaf thermoregulation. , 2(9), 16129. https://doi.org/10.1038/nplants.2016.129
Minervini, S.. A., Giuffrida, M.. V., Tsaftaris (2016). An interactive tool for semi-automated leaf annotation. .
Minervini, S.. A., Fischbach, A., Scharr, H., Tsaftaris (2016). Finely-grained annotated datasets for image-based plant phenotyping. , 81, 80-89. https://doi.org/10.1016/j.patrec.2015.10.013
Moody, Q., Kirsch, L.. J., Slaughter, S.. A., Dunn, B.. K., Weng (2016). Facilitating the Transformational: An Exploration of Control in Cyberinfrastructure Projects and the Discovery of Field Control. , 27(2), 324-346. https://doi.org/10.1287/isre.2016.0619
Moore, H., Xu, H., Conway, M., Rajasekar, A., Crabtree, J., Tibbo (2016). Trustworthy Policies for Distributed Repositories. , 8(3), i-133. https://doi.org/10.2200/S00732ED1V01Y201609ICR051
Morey, F.. M., Neely, M.. G., Lunardi, D., Anderson, P.. E., Schwacke, L.. H., Campbell, M., Van Dolah (2016). RNA-Seq analysis of seasonal and individual variation in blood transcriptomes of healthy managed bottlenose dolphins. , 17(1), 720. https://doi.org/10.1186/s12864-016-3020-8
Morueta-Holme, J., Blonder, B., Sandel, B., McGill, B.. J., Peet, R.. K., Ott, J.. E., Violle, C., Enquist, B.. J., Jørgensen, P.. M., Svenning (2016). A network approach for inferring species associations from co-occurrence data. , 39(12), 1139-1150. https://doi.org/10.1111/ecog.01892
Mushegian, S.. F., Shipunov, A., Elena (2016). Changes in the composition of the RNA virome mark evolutionary transitions in green plants. , 14(1), 68. https://doi.org/10.1186/s12915-016-0288-8
Mykles, J.. H., Burnett, K.. G., Durica, D.. S., Joyce, B.. L., McCarthy, F.. M., Schmidt, C.. J., Stillman (2016). Resources and Recommendations for Using Transcriptomics to Address Grand Challenges in Comparative Biology. , 56(6), 1183-1191. https://doi.org/10.1093/icb/icw083
Nakandala, M., Pamidighantam, S., Yodage, S., Doshi, N., Abeysinghe, E., Kankanamalage, C.. P., Marru, S., Pierce (2016). Anatomy of the SEAGrid Science Gateway. , 8-Jan. https://doi.org/10.1145/2949550.2949591
Narra, M.. J., Shubitz, L.. F., Mandel, M.. A., Trinh, H.. T., Griffin, K., Buntzman, A.. S., Frelinger, J.. A., Galgiani, J.. N., Orbach (2016). A Coccidioides posadasii CPS1 Deletion Mutant Is Avirulent and Protects Mice from Lethal Infection. , 84(10), 3007-3016. https://doi.org/10.1128/IAI.00633-16
Nelson, A.. D. (2016). Evolnc: A Pipeline for Comparative Genomic and Transcriptomic Analyses of Long Non-Coding RNAs. , W244.
Nuelle Jr, W., Nuelle III, R.. J., Bhuiyan, S., Godwin (2016). Biogeography of a disjunct population of Hemileuca peigleri (Lepidoptera: Saturniidae) in the Coastal Bend of Texas. , 4, 543–549.
Ostria-Gallardo, N.. R., Ranjan, A., Chitwood, D.. H., Kumar, R., Townsley, B.. T., Ichihashi, Y., Corcuera, L.. J., Sinha (2016). Transcriptomic analysis suggests a key role for SQUAMOSA PROMOTER BINDING PROTEIN LIKE , NAC and YUCCA genes in the heteroblastic development of the temperate rainforest tree Gevuina avellana (Proteaceae). , 210(2), 694-708. https://doi.org/10.1111/nph.13776
Pamidighantam, M., Nakandala, S., Abeysinghe, E., Wimalasena, C., Yodage, S.. R., Marru, S., Pierce (2016). Community Science Exemplars in SEAGrid Science Gateway: Apache Airavata Based Implementation of Advanced Infrastructure. , 80, 1927-1939. https://doi.org/10.1016/j.procs.2016.05.535
Papanicolaou, A. (2016). The life cycle of a genome project: perspectives and guidelines inspired by insect genome projects. , 5, 18. https://doi.org/10.12688/f1000research.7559.1
Perea, J., De La Hoz, J.. F., Cruz, D.. F., Lobaton, J.. D., Izquierdo, P., Quintero, J.. C., Raatz, B., Duitama (2016). Bioinformatic analysis of genotype by sequencing (GBS) data with NGSEP. , 17(S5), 498. https://doi.org/10.1186/s12864-016-2827-7
Phan, L. (2016). NCBI Variation Portal: Databases and Tools for Genetic Variation Discovery, Analysis, and Interpretation. , P21034.
Phillips, A., Duque, Á., Scott, C., Wayson, C., Galindo, G., Cabrera, E., Chave, J., Peña, M., Álvarez, E., Cárdenas, D., Duivenvoorden, J., Hildebrand, P., Stevenson, P., Ramírez, S., Yepes (2016). Live aboveground carbon stocks in natural forests of Colombia. , 374, 119-128. https://doi.org/10.1016/j.foreco.2016.05.009
Popescu, S.. C., Noutsos, C., Popescu (2016). Big Data in Plant Science: Resources and Data Mining Tools for Plant Genomics and Proteomics. , 1415, 533-547.
Preece, S., others, J., Elser, J., Jaiswal, P., Kvilekval, K., Fedorov, D., Manjunath, B., Kitchen, R., Xu, X., Trigkakis, D., Todorovic (2016). Plant Image Segmentation and Annotation with Ontologies in BisQue.. .
Ranjan, N.. R., Budke, J.. M., Rowland, S.. D., Chitwood, D.. H., Kumar, R., Carriedo, L., Ichihashi, Y., Zumstein, K., Maloof, J.. N., Sinha (2016). eQTL Regulating Transcript Levels Associated with Diverse Biological Processes in Tomato. , 172(1), 328-340. https://doi.org/10.1104/pp.16.00289
Roux, M.. B., Solonenko, N.. E., Dang, V.. T., Poulos, B.. T., Schwenck, S.. M., Goldsmith, D.. B., Coleman, M.. L., Breitbart, M., Sullivan (2016). Towards quantitative viromics for both double-stranded and single-stranded DNA viruses. , 4, e2777. https://doi.org/10.7717/peerj.2777
Satagopam, R., Gu, W., Eifes, S., Gawron, P., Ostaszewski, M., Gebel, S., Barbosa-Silva, A., Balling, R., Schneider (2016). Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases. , 4(2), 97-108. https://doi.org/10.1089/big.2015.0057
Satjarak, E., Paasch, A.. E., Graham, L.. E., Kim (2016). Complete Chloroplast Genome Sequence of Phagomixotrophic Green Alga Cymbomonas tetramitiformis. , 4(3), e00551-16, /ga/4/3/e00551-16.atom. https://doi.org/10.1128/genomeA.00551-16
Scarborough, M., Arnold, C., Dahan (2016). Case Study: Microservice Evolution and Software Lifecycle of the XSEDE User Portal API. , 5-Jan. https://doi.org/10.1145/2949550.2949655
Scharr, S.. A., Minervini, M., French, A.. P., Klukas, C., Kramer, D.. M., Liu, X., Luengo, I., Pape, J., Polder, G., Vukadinovic, D., Yin, X., Tsaftaris (2016). Leaf segmentation in plant phenotyping: a collation study. , 27(4), 585-606. https://doi.org/10.1007/s00138-015-0737-3
Schnase, L., Lee, T.. J., Mattmann, C.. A., Lynnes, C.. S., Cinquini, L., Ramirez, P.. M., Hart, A.. F., Williams, D.. N., Waliser, D., Rinsland, P., Webster, W.. P., Duffy, D.. Q., McInerney, M.. A., Tamkin, G.. S., Potter, G.. L., Carriere (2016). Big Data Challenges in Climate Science: Improving the next-generation cyberinfrastructure. , 4(3), 22-Oct. https://doi.org/10.1109/MGRS.2015.2514192
Schneider, G.. G., Xie, Z., Wolfgruber, T.. K., Presting (2016). Inbreeding drives maize centromere evolution. , 113(8), E987-E996. https://doi.org/10.1073/pnas.1522008113
Song, M.. W., Zynda, G., Beck, S., Springer, N.. M., Vaughn (2016). Bisulfite Sequence Analyses Using CyVerse Discovery Environment: From Mapping to DMRs. , 1(3), 510-529. https://doi.org/10.1002/cppb.20034
Song, T., Li, W., Zhou, B., Lei (2016). Spatiotemporal data representation and its effect on the performance of spatial analysis in a cyberinfrastructure environment – A case study with raster zonal analysis. , 87, 21-Nov. https://doi.org/10.1016/j.cageo.2015.11.005
Stein, J. (2016). Exploring and Comparing Plant Genomes Using the Gramene/Ensembl Plants Browser. , P0720.
Stewart, J.. M., Stanzione, D.. C., Taylor, J., Skidmore, E., Hancock, D.. Y., Vaughn, M., Fischer, J., Cockerill, T., Liming, L., Merchant, N., Miller, T., Lowe (2016). Jetstream: performance, early experiences, and early results. , 8-Jan. https://doi.org/10.1145/2949550.2949639
Stubbs, A., Talley, S., Moreira, W., Dooley, R., Stapleton (2016). Endofday: A Container Workflow Engine for Scalable, Reproducible Computation.. .
Studer, T.. P., Schnable, J.. C., Weissmann, S., Kolbe, A.. R., McKain, M.. R., Shao, Y., Cousins, A.. B., Kellogg, E.. A., Brutnell (2016). The draft genome of the C3 panicoid grass species Dichanthelium oligosanthes. , 17(1), 223. https://doi.org/10.1186/s13059-016-1080-3
Swetnam, V., Crosby, C., Pelletier, J.. D., Rasmussen, C., Callahan, N.. R., Merchant, N., Lyons, E., Rynge, M., Liu, Y., Nandigam (2016). Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts. , 6-Jan. https://doi.org/10.1145/2949550.2949573
Tara Oceans Coordinators, Roux, M.. B., Brum, J.. R., Dutilh, B.. E., Sunagawa, S., Duhaime, M.. B., Loy, A., Poulos, B.. T., Solonenko, N., Lara, E., Poulain, J., Pesant, S., Kandels-Lewis, S., Dimier, C., Picheral, M., Searson, S., Cruaud, C., Alberti, A., Duarte, C.. M., Gasol, J.. M., Vaqué, D., Bork, P., Acinas, S.. G., Wincker, P., Sullivan (2016). Ecogenomics and potential biogeochemical impacts of globally abundant ocean viruses. , 537(7622), 689-693. https://doi.org/10.1038/nature19366
Teal, T. (2016). Data Carpentry: Data Skills Training to Enable More Effective Research. , W559.
Tello-Ruiz, D., Stein, J., Wei, S., Preece, J., Olson, A., Naithani, S., Amarasinghe, V., Dharmawardhana, P., Jiao, Y., Mulvaney, J., Kumari, S., Chougule, K., Elser, J., Wang, B., Thomason, J., Bolser, D.. M., Kerhornou, A., Walts, B., Fonseca, N.. A., Huerta, L., Keays, M., Tang, Y.. A., Parkinson, H., Fabregat, A., McKay, S., Weiser, J., D'Eustachio, P., Stein, L., Petryszak, R., Kersey, P.. J., Jaiswal, P., Ware (2016). Gramene 2016: comparative plant genomics and pathway resources. , 44(D1), D1133-D1140. https://doi.org/10.1093/nar/gkv1179
Teytelman, B.. L., Stoliartchouk, A., Kindler, L., Hurwitz (2016). Protocols.io: Virtual Communities for Protocol Development and Discussion. , 14(8), e1002538. https://doi.org/10.1371/journal.pbio.1002538
Thurber, C. (2016). RNA-Seq in the Classroom: Pathways to Undergraduate Research. , W557.
Torre, F., Tattini, M., Brunetti, C., Guidi, L., Gori, A., Marzano, C., Landi, M., Sebastiani (2016). De Novo Assembly and Comparative Transcriptome Analyses of Red and Green Morphs of Sweet Basil Grown in Full Sunlight. , 11(8), e0160370. https://doi.org/10.1371/journal.pone.0160370
Trujillo, R.. A., Beilstein, M.. A., Mosher (2016). The Argonaute-binding platform of NRPE1 evolves through modulation of intrinsically disordered repeats. , 212(4), 1094-1105. https://doi.org/10.1111/nph.14089
Tuecke, I., Ananthakrishnan, R., Chard, K., Lidman, M., McCollam, B., Rosen, S., Foster (2016). Globus Auth: A research identity and access management platform. , 203–212.
Tyler, A.. L., Lee, S.. J., Young, N.. D., DeIulio, G.. A., Benavente, E., Reagon, M., Sysopha, J., Baldini, R.. M., Troìa, A., Hazen, S.. P., Caicedo (2016). Population Structure in the Model Grass Is Highly Correlated with Flowering Differences across Broad Geographic Areas. , 9(2), 0. https://doi.org/10.3835/plantgenome2015.08.0074
Vogelstein, M.. I., Mensh, B., Häusser, M., Spruston, N., Evans, A.. C., Kording, K., Amunts, K., Ebell, C., Muller, J., Telefont, M., Hill, S., Koushika, S.. P., Calì, C., Valdés-Sosa, P.. A., Littlewood, P.. B., Koch, C., Saalfeld, S., Kepecs, A., Peng, H., Halchenko, Y.. O., Kiar, G., Poo, M., Poline, J., Milham, M.. P., Schaffer, A.. P., Gidron, R., Okano, H., Calhoun, V.. D., Chun, M., Kleissas, D.. M., Vogelstein, R.. J., Perlman, E., Burns, R., Huganir, R., Miller (2016). To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery. , 92(3), 622-627. https://doi.org/10.1016/j.neuron.2016.10.033
Walls, M., Gaylor, D., Reddy, V., Furfaro, R., Jah (2016). Assessing the IADC Space Debris Mitigation Guidelines: A case for ontology-based data management. .
Walls, R.. L. (2016). Defining and Sustaining Populations and Communities.. .
Walsh, J.. R. (2016). Computational methods for integrated analysis of omics and pathway data. .
Wang, A.. H., Guo, H., Wang, J., Lei, T., Liu, T., Wang, Z., Li, Y., Lee, T., Li, J., Tang, H., Jin, D., Paterson (2016). Comparative genomic de‐convolution of the cotton genome revealed a decaploid ancestor and widespread chromosomal fractionation. , 209(3), 1252-1263. https://doi.org/10.1111/nph.13689
Wang, C., Yu, Y., Tao, F., Zhang, J., Copetti, D., Kudrna, D., Talag, J., Lee, S., Wing, R.. A., Fan (2016). DNA methylation changes facilitated evolution of genes derived from Mutator-like transposable elements. , 17(1), 92. https://doi.org/10.1186/s13059-016-0954-8
Wang, D., Lu, W., Deng (2016). Bioinformatic landscapes for plant transcription factor system research. , 243(2), 297-304. https://doi.org/10.1007/s00425-015-2453-7
Wasike, T.. A., Rolf, M., Silva, N.. C.. D., Puchala, R., Sahlu, T., Goetsch, A.. L., Gipson (2016). 1683 Genome-wide association analysis of residual feed intake and milk yield in dairy goats. , 94(suppl_5), 820-820. https://doi.org/10.2527/jam2016-1683
Weigelt, H., Steinbauer, M.. J., Cabral, J.. S., Kreft (2016). Late Quaternary climate change shapes island biodiversity. , 532(7597), 99-102. https://doi.org/10.1038/nature17443
Wiser, S.. K. (2016). Achievements and challenges in the integration, reuse and synthesis of vegetation plot data. , 27(5), 868-879. https://doi.org/10.1111/jvs.12419
Wren, S., Toby, I., Hong, H., Nanduri, B., Kaundal, R., Dozmorov, M.. G., Thakkar (2016). Proceedings of the 2016 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. , 17(S13), 356, s12859-016-1213-4. https://doi.org/10.1186/s12859-016-1213-4
Xu, M., Huang, R., Song, J., Walls, R., Esteva (2016). Supporting Efficient Content Based Collection Comparison for Curation. .
Xu, P., Gupta, A., Jaiswal, P., Taylor, C., Lockhart (2016). A Web Application for Extracting Key Domain Information for Scientific Publications Using Ontology.. .
Xu, P., Gupta, A., Jaiswal, P., Taylor, C., Lockhart (2016). Enhancing Information Accessibility of Scientific Publications with Text Mining and Ontology. , 1747, 2–3.
Xu, R., Huang, R., Esteva, M., Song, J., Walls (2016). Content-based comparison for collections identification. , 3283–3289.
Xu, W., Huang, R., Song, J., Walls, R., Esteva, M. (2016). Supporting Efficient Content Based Collection Comparison for Curation. SciDataCon.
Yin, P.. C., Struik (2016). Crop Systems Biology: Where Are We and Where to Go?. , 219-227.
Yu, J., Li, X., Guo, T., Zhu, C., Wu, Y., Mitchell, S.. E., Roozeboom, K.. L., Wang, D., Wang, M.. L., Pederson, G.. A., Tesso, T.. T., Schnable, P.. S., Bernardo, R., Yu (2016). Genomic prediction contributing to a promising global strategy to turbocharge gene banks. , 2(10), 16150. https://doi.org/10.1038/nplants.2016.150
Zhang, J., Hu, W., Zhu, F., Wang, L., Yu, Q., Ming, R., Zhang (2016). Structure, phylogeny, allelic haplotypes and expression of sucrose transporter gene families in Saccharum. , 17(1), 88. https://doi.org/10.1186/s12864-016-2419-6
Zhang, Q., Chen, L., Sun, S., Kudrna, D., Copetti, D., Li, W., Mu, T., Jiao, W., Xing, F., Lee, S., Talag, J., Song, J., Du, B., Xie, W., Luo, M., Maldonado, C.. E., Goicoechea, J.. L., Xiong, L., Wu, C., Xing, Y., Zhou, D., Yu, S., Zhao, Y., Wang, G., Yu, Y., Luo, Y., Hurtado, B.. E.. P., Danowitz, A., Wing, R.. A., Zhang (2016). Building two indica rice reference genomes with PacBio long-read and Illumina paired-end sequencing data. , 3(1), 160076. https://doi.org/10.1038/sdata.2016.76
van Eeuwijk, M., Bustos-Korts, D.. V., Malosetti (2016). What Should Students in Plant Breeding Know About the Statistical Aspects of Genotype × Environment Interactions?. , 56(5), 2119. https://doi.org/10.2135/cropsci2015.06.0375
2015
Albert, C., Auffret, A.. G., Cosyns, E., Cousins, S.. A.. O., D'hondt, B., Eichberg, C., Eycott, A.. E., Heinken, T., Hoffmann, M., Jaroszewicz, B., Malo, J.. E., Mårell, A., Mouissie, M., Pakeman, R.. J., Picard, M., Plue, J., Poschlod, P., Provoost, S., Schulze, K.. A., Baltzinger (2015). Seed dispersal by ungulates as an ecological filter: a trait-based meta-analysis. , 124(9), 1109-1120. https://doi.org/10.1111/oik.02512
Albert, C., Mårell, A., Picard, M., Baltzinger (2015). Using basic plant traits to predict ungulate seed dispersal potential. , 38(5), 440-449. https://doi.org/10.1111/ecog.00709
Allahverdiyeva, M., Battchikova, N., Brosché, M., Fujii, H., Kangasjärvi, S., Mulo, P., Mähönen, A.. P., Nieminen, K., Overmyer, K., Salojärvi, J., Wrzaczek (2015). Integration of photosynthesis, development and stress as an opportunity for plant biology. , 208(3), 647-655. https://doi.org/10.1111/nph.13549
Alvi, A.. V., Chu, T., Schawaroch, V., Klaus (2015). Genomic and expression analysis of transition proteins in Drosophila. , 5(3), e1178518. https://doi.org/10.1080/21565562.2016.1178518
Ananthakrishnan, S., Chard, K., Foster, I., Tuecke (2015). Globus platform-as-a-service for collaborative science applications. , 27(2), 290–305.
Antoni, A., Kutztown, P. (2015). A Bioinformatics Approach to Systemic Lupus Erythematosus and Autoimmunity. .
Antoni, P., Kutztown (2015). A Bioinformatics Approach to Systemic Lupus Erythematosus and Autoimmunity. .
Bailey, D. (2015). Using iPlant Tools and Plastome Sequencing As a Springboard into Comparative Genomics: Plastome Organization and Sequence for the Mimosoid Legume Leucaena trichandra. .
Batllori, M.. A., Ackerly, D.. D., Moritz (2015). A minimal model of fire-vegetation feedbacks and disturbance stochasticity generates alternative stable states in grassland–shrubland–woodland systems. , 10(3), 34018. https://doi.org/10.1088/1748-9326/10/3/034018
Blonder, B.. J., Nogués-Bravo, D., Borregaard, M.. K., Donoghue, J.. C., Jørgensen, P.. M., Kraft, N.. J.. B., Lessard, J., Morueta-Holme, N., Sandel, B., Svenning, J., Violle, C., Rahbek, C., Enquist (2015). Linking environmental filtering and disequilibrium to biogeography with a community climate framework. , 96(4), 972-985. https://doi.org/10.1890/14-0589.1
Boyd, C., Highland, E., Misch, A., Hu, A., Reddy, S., Putonti (2015). Finding function in the unknown. , 1098-1099. https://doi.org/10.1109/BIBM.2015.7359834
Brusslan, J.. A. (2015). Large Dataset Analysis for Undergraduates: Discovery Environment, RNA-Seq and Leaf Senescence in< em> Arabidopsis thaliana(Green Line). .
Buckner, B. (2015). Introducing Undergraduate Students to Gene and Genome Structure through Gene Annotation. .
Buonaccorsi, V. (2015). Undergraduate Genomics Research through GCAT-SEEK: The Genome Consortium for Active Teaching Using Next-Generation Sequencing. .
Burnette, J. (2015). Transposable Elements, Gene Discovery, and DNA Barcoding (Yellow and Blue Lines). .
Burnette, J. (2015). DNA Subway Yellow and Blue Lines: TEs, Gene Discovery and DNA Barcoding. .
Campbell, H., Knecht, A.. C., Berger, B., Brien, C.. J., Wang, D., Walia (2015). Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice. , 168(4), 1476-1489. https://doi.org/10.1104/pp.15.00450
Cannon, J., McKain, M.. R., Harkess, A., Nelson, M.. N., Dash, S., Deyholos, M.. K., Peng, Y., Joyce, B., Stewart, C.. N., Rolf, M., Kutchan, T., Tan, X., Chen, C., Zhang, Y., Carpenter, E., Wong, G.. K., Doyle, J.. J., Leebens-Mack (2015). Multiple Polyploidy Events in the Early Radiation of Nodulating and Nonnodulating Legumes. , 32(1), 193-210. https://doi.org/10.1093/molbev/msu296
Carson, J.. e.. a. (2015). Leveraging iPlant Cyberinfrastructure for a New Data-Driven Research Community. .
Chamala, P.. S., García, N., Godden, G.. T., Krishnakumar, V., Jordon-Thaden, I.. E., Smet, R.. D., Barbazuk, W.. B., Soltis, D.. E., Soltis (2015). MarkerMiner 1.0: A New Application for Phylogenetic Marker Development Using Angiosperm Transcriptomes. , 3(4), 1400115. https://doi.org/10.3732/apps.1400115
Chard, I., Chard, K., Bubendorfer, K., Lacinski, L., Madduri, R., Foster (2015). Cost-Aware Cloud Provisioning. , 136-144. https://doi.org/10.1109/eScience.2015.67
Charnigo R, T.. K. (2015). Parallel Computing in Genome-Wide Association Studies. , 6(1). https://doi.org/10.4172/2155-6180.1000e131
Cheng, C., Erik Ferlanti, VIvek Krishnakumar, Maria Kim, Svetlana Karamycheva, Benjamin D. Rosen, Matt Hanlon, Steve Mock, Joe Stubbs, Walter Moreira, Rion Dooley, Sergio Contrino, Julie Sullivan, Alex Kalderimis, Gos Micklem, Jason R. Miller, Matt Vaughn, Christopher D. Town (2015). Data Integration for the Plant Research Community: The Arabidopsis Information Portal. .
Chougule, K. (2015). Flash Demo: Atmosphere Cloud Computing - Applied to Visualizing RNA-Seq Data. .
Cottingham, R.. W.. e.. a. (2015). The DOE Systems Biology Knowledgebase: Progress Toward a System for Collaborative and Reproducible Inference and Modeling of Biological Function in Plant Research. .
Council, N.. R., others (2015). Enhancing the effectiveness of team science. .
Crivelli, S., The WeFold Community, S., Dooley, R., Holmes, R., Mock (2015). Creating a gateway that enables large-scale science coopetition: LARGE-SCALE SCIENCE COOPETITION. , 27(2), 446-457. https://doi.org/10.1002/cpe.3270
Darwish, N.. W., Shahan, R., Liu, Z., Slovin, J.. P., Alkharouf (2015). Re-annotation of the woodland strawberry (Fragaria vesca) genome. , 16(1), 29. https://doi.org/10.1186/s12864-015-1221-1
Das, A., Schneider, H., Burridge, J., Ascanio, A.. K.. M., Wojciechowski, T., Topp, C.. N., Lynch, J.. P., Weitz, J.. S., Bucksch (2015). Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics. , 11(1), 51. https://doi.org/10.1186/s13007-015-0093-3
DeBarry, J. (2015). Flash Demo: Secure, Collaborative, Management of Your Life Sciences Data with the Data Store. .
Deans, P., Lewis, S.. E., Huala, E., Anzaldo, S.. S., Ashburner, M., Balhoff, J.. P., Blackburn, D.. C., Blake, J.. A., Burleigh, J.. G., Chanet, B., Cooper, L.. D., Courtot, M., Csösz, S., Cui, H., Dahdul, W., Das, S., Dececchi, T.. A., Dettai, A., Diogo, R., Druzinsky, R.. E., Dumontier, M., Franz, N.. M., Friedrich, F., Gkoutos, G.. V., Haendel, M., Harmon, L.. J., Hayamizu, T.. F., He, Y., Hines, H.. M., Ibrahim, N., Jackson, L.. M., Jaiswal, P., James-Zorn, C., Köhler, S., Lecointre, G., Lapp, H., Lawrence, C.. J., Le Novère, N., Lundberg, J.. G., Macklin, J., Mast, A.. R., Midford, P.. E., Mikó, I., Mungall, C.. J., Oellrich, A., Osumi-Sutherland, D., Parkinson, H., Ramírez, M.. J., Richter, S., Robinson, P.. N., Ruttenberg, A., Schulz, K.. S., Segerdell, E., Seltmann, K.. C., Sharkey, M.. J., Smith, A.. D., Smith, B., Specht, C.. D., Squires, R.. B., Thacker, R.. W., Thessen, A., Fernandez-Triana, J., Vihinen, M., Vize, P.. D., Vogt, L., Wall, C.. E., Walls, R.. L., Westerfeld, M., Wharton, R.. A., Wirkner, C.. S., Woolley, J.. B., Yoder, M.. J., Zorn, A.. M., Mabee (2015). Finding Our Way through Phenotypes. , 13(1), e1002033. https://doi.org/10.1371/journal.pbio.1002033
Deck, J., Guralnick, R., Walls, R., Blum, S., Haendel, M., Matsunaga, A., Wieczorek (2015). Meeting report: Identifying practical applications of ontologies for biodiversity informatics. , 10(1), 25. https://doi.org/10.1186/s40793-015-0014-0
Deng, D.. E., Drew, B.. T., Mavrodiev, E.. V., Gitzendanner, M.. A., Soltis, P.. S., Soltis (2015). Phylogeny, divergence times, and historical biogeography of the angiosperm family Saxifragaceae. , 83, 86-98. https://doi.org/10.1016/j.ympev.2014.11.011
Devisetty, U.. K. (2015). A Hybrid Approach to Assemble and Annotate the Brassica rapa Transcriptome in the Cloud through the iPlant Collaborative and XSEDE. .
Dhanapal, M., Govindaraj (2015). Unlimited thirst for genome sequencing, data interpretation, and database usage in genomic era: the road towards fast-track crop plant improvement. , 2015.
Docherty, R.. E., Borton, H.. M., Espinosa, N., Gebhardt, M., Gil-Loaiza, J., Gutknecht, J.. L.. M., Maes, P.. W., Mott, B.. M., Parnell, J.. J., Purdy, G., Rodrigues, P.. A.. P., Stanish, L.. F., Walser, O.. N., Gallery (2015). Key Edaphic Properties Largely Explain Temporal and Geographic Variation in Soil Microbial Communities across Four Biomes. , 10(11), e0135352. https://doi.org/10.1371/journal.pone.0135352
Dooley, M.. R., Hanlon (2015). Recipes 2.0: building for today and tomorrow: RECIPES 2.0: BUILDING FOR TODAY AND TOMORROW. , 27(2), 258-270. https://doi.org/10.1002/cpe.3285
Dudhagara, R., Bhavsar, S., Bhagat, C., Ghelani, A., Bhatt, S., Patel (2015). Web Resources for Metagenomics Studies. , 13(5), 296-303. https://doi.org/10.1016/j.gpb.2015.10.003
Dvorak, J.. e.. a. (2015). BAC-Based Sequencing of the Aegilops tauschii Genome. .
Eastmond, J.. M., Astley, H.. M., Parsley, K., Aubry, S., Williams, B.. P., Menard, G.. N., Craddock, C.. P., Nunes-Nesi, A., Fernie, A.. R., Hibberd (2015). Arabidopsis uses two gluconeogenic gateways for organic acids to fuel seedling establishment. , 6(1), 6659. https://doi.org/10.1038/ncomms7659
Engemann, J., Enquist, B.. J., Sandel, B., Boyle, B., Jørgensen, P.. M., Morueta-Holme, N., Peet, R.. K., Violle, C., Svenning (2015). Limited sampling hampers “big data” estimation of species richness in a tropical biodiversity hotspot. , 5(3), 807-820. https://doi.org/10.1002/ece3.1405
Etemadpour, A., Bomhoff, M., Lyons, E., Murray, P., Forbes (2015). Designing and evaluating scientific workflows for big data interactions. , 1–8.
Fahlgren, I., Gehan, M.. A., Baxter (2015). Lights, camera, action: high-throughput plant phenotyping is ready for a close-up. , 24, 93-99. https://doi.org/10.1016/j.pbi.2015.02.006
Fischer, C.. A., Tuecke, S., Foster, I., Stewart (2015). Jetstream: A distributed cloud infrastructure for underresourced higher education communities. , 53–61.
Flis, A.. J., Fernández, A.. P., Zielinski, T., Mengin, V., Sulpice, R., Stratford, K., Hume, A., Pokhilko, A., Southern, M.. M., Seaton, D.. D., McWatters, H.. G., Stitt, M., Halliday, K.. J., Millar (2015). Defining the robust behaviour of the plant clock gene circuit with absolute RNA timeseries and open infrastructure. , 5(10), 150042. https://doi.org/10.1098/rsob.150042
Fox, A., Qiu, J., Kamburugamuve, S., Jha, S., Luckow (2015). HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack. , 1057-1066. https://doi.org/10.1109/CCGrid.2015.122
Gardiner, A., Quinton-Tulloch, M., Olohan, L., Price, J., Hall, N., Hall (2015). A genome-wide survey of DNA methylation in hexaploid wheat. , 16(1), 273. https://doi.org/10.1186/s13059-015-0838-3
Gardiner, J., Darwin Campbell, Carolyn J. Lawrence-Dill (2015). Identification and Development of Data Standards for Maize Field Phenotypic Measurements: Working with the GxE Subgroup of ht eGenomes2Fields Initiative. .
Gesing, A., Dooley, R., Pierce, M., Kruger, J., Grunzke, R., Herres-Pawlis, S., Hoffmann (2015). Science gateways - leveraging modeling and simulations in HPC infrastructures via increased usability. , 19-26. https://doi.org/10.1109/HPCSim.2015.7237017
Gesing, I., Connor, T.. R., Taylor (2015). Genomics and Biological Big Data: Facing Current and Future Challenges around Data and Software Sharing and Reproducibility. .
Goggin, C.. N., Lorence, A., Topp (2015). Applying high-throughput phenotyping to plant–insect interactions: picturing more resistant crops. , 9, 69-76. https://doi.org/10.1016/j.cois.2015.03.002
González, C., Larrainzar, E., Marino, D., Wienkoop, S., Gil-Quintana, E., Arrese-Igor (2015). Physiological Responses of N2-Fixing Legumes to Water Limitation. , May-33.
Goring, J.. W., Dawson, A., Simpson, G.. L., Ram, K., Graham, R.. W., Grimm, E.. C., Williams (2015). neotoma: A Programmatic Interface to the Neotoma Paleoecological Database. , 1. https://doi.org/10.5334/oq.ab
Goscinski, P., Church (2015). Clouds for Masses - Toward Ubiquitous and Transparent Clouds. , 1141-1148. https://doi.org/10.1109/CLOUD.2015.168
Gray, K., others, J., Burdo, B., Goetting-Minesky, M., Wittler, B., Hunt, M., Li, T., Velliquette, D., Thomas, J., Agarwal, T., Key (2015). Protocol for the generation of a transcription factor open reading frame collection (TFome). , 5(15), e15.
Guralnick, R., Cellinese, N., Deck, J., Pyle, R.. L., Kunze, J., Penev, L., Walls, R., Hagedorn, G., Agosti, D., Wieczorek, J., Catapano, T., Page (2015). Community Next Steps for Making Globally Unique Identifiers Work for Biocollections Data. , 494, 133-154. https://doi.org/10.3897/zookeys.494.9352
Hanlon, E., Vaughn, M., Mock, S., Dooley, R., Moreira, W., Stubbs, J., Town, C., Miller, J., Krishnakumar, V., Ferlanti, E., Pence (2015). Araport: an application platform for data discovery: Araport: an application platform for data discovery. , 27(16), 4412-4422. https://doi.org/10.1002/cpe.3542
Harper, L.. e.. a. (2015). An Ontology Approach to Comparative Phenomics in the Plants: Arabidopsis, Tomato, Maize, Rice, Soybean and Medicago. .
Hart, D., Rast, R., Jefferies, S., Hope (2015). Resolved observations of geostationary satellites from the 6.5 m MMT. .
Haug-Baltzell, E., Jarvis, E.. D., McCarthy, F.. M., Lyons (2015). Identification of dopamine receptors across the extant avian family tree and analysis with other clades uncovers a polyploid expansion among vertebrates. , 9. https://doi.org/10.3389/fnins.2015.00361
Haug-Baltzell, E.. J.. A., Dopamine (2015). Receptors DRD1a and DRD1b Arise from an Ancient Vertebrate Whole Genome Duplication. .
Heiland, V., Koranda, S., Marru, S., Pierce, M., Welch (2015). Authentication and Authorization Considerations for a Multi-tenant Service. , 29-35. https://doi.org/10.1145/2753524.2753534
Horvath, M., Anderson, J.. V., Chao, W.. S., Foley, M.. E., Doğramaci (2015). Leafy Spurge Genomics: A Model Perennial Weed to Investigate Development, Stress Responses, and Invasiveness. , 63–78.
Horvath, S.. A., Hansen, S.. A., Moriles-Miller, J.. P., Pierik, R., Yan, C., Clay, D.. E., Scheffler, B., Clay (2015). RNAseq reveals weed-induced PIF3-like as a candidate target to manipulate weed stress response in soybean. , 207(1), 196-210. https://doi.org/10.1111/nph.13351
Huala, E.. e.. a. (2015). Flash Talk: An Ontology Approach to Comparative Phenomics in Plants. .
Huang, J.. H., Jennings, S.. F., Bruce, B., Buchan, A., Cai, L., Chen, P., Cramer, C.. L., Guan, W., Hilgert, U.. K., Jiang, H., Li, Z., McClure, G., McMullen, D.. F., Nanduri, B., Perkins, A., Rekepalli, B., Salem, S., Specker, J., Walker, K., Wunsch, D., Xiong, D., Zhang, S., Zhang, Y., Zhao, Z., Moore (2015). Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. , 8(1), 7. https://doi.org/10.1186/s13040-015-0037-5
Huck, K., Jain, A., Gunter, D., Winston, D., Persson (2015). A Community Contribution Framework for Sharing Materials Data with Materials Project. , 535-541. https://doi.org/10.1109/eScience.2015.75
Hurwitz, M.. B., Brum, J.. R., Sullivan (2015). Depth-stratified functional and taxonomic niche specialization in the ‘core’ and ‘flexible’ Pacific Ocean Virome. , 9(2), 472-484. https://doi.org/10.1038/ismej.2014.143
James, M., McLay, R., Liu, S., Evans, R.. T., Barth, W.. L., Lamas-Linares, A., Budiardja, R., Fahey (2015). Tales from the trenches: can user support tools make a difference?. , 11-Jan. https://doi.org/10.1145/2834996.2834998
Jonquet, P., Dzalé-Yeumo, E., Arnaud, E., Larmande (2015). AgroPortal: a proposition for ontology-based services in the agronomic domain. .
Jordan, D., Walling, D., Xu, W., Mock, S.. A., Gaffney, N., Stanzione (2015). Wrangler's user environment: A software framework for management of data-intensive computing system. , 2479-2486. https://doi.org/10.1109/BigData.2015.7364043
Kociumaka, T., Pissis, S.. P., Radoszewski, J., Rytter, W., Waleń (2015). Fast algorithm for partial covers in words. , 73(1), 217–233.
Krampis, C., Wultsch (2015). A Review of Cloud Computing Bioinformatics Solutions for Next-Gen Sequencing Data Analysis and Research. , 2(1). https://doi.org/10.1515/mngs-2015-0003
Krishnakumar, C.. D., Hanlon, M.. R., Contrino, S., Ferlanti, E.. S., Karamycheva, S., Kim, M., Rosen, B.. D., Cheng, C., Moreira, W., Mock, S.. A., Stubbs, J., Sullivan, J.. M., Krampis, K., Miller, J.. R., Micklem, G., Vaughn, M., Town (2015). Araport: the Arabidopsis Information Portal. , 43(D1), D1003-D1009. https://doi.org/10.1093/nar/gku1200
Köhl, J., Gremmels (2015). A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices. , 11(1), 25. https://doi.org/10.1186/s13007-015-0069-3
Lapatas, M.. V., Stefanidakis, M., Jimenez, R.. C., Via, A., Schneider (2015). Data integration in biological research: an overview. , 22(1), 9. https://doi.org/10.1186/s40709-015-0032-5
Law, M., Childs, K.. L., Campbell, M.. S., Stein, J.. C., Olson, A.. J., Holt, C., Panchy, N., Lei, J., Jiao, D., Andorf, C.. M., Lawrence, C.. J., Ware, D., Shiu, S., Sun, Y., Jiang, N., Yandell (2015). Automated Update, Revision, and Quality Control of the Maize Genome Annotations Using MAKER-P Improves the B73 RefGen_v3 Gene Models and Identifies New Genes. , 167(1), 25-39. https://doi.org/10.1104/pp.114.245027
Lewis, J.. H., Hartman (2015). Accordion: multi-scale recipes for adaptive detection of duplication. .
Li, J., Hou, J., Sun, L., Wilkins, J.. M., Lu, Y., Niederhuth, C.. E., Merideth, B.. R., Mawhinney, T.. P., Mossine, V.. V., Greenlief, C.. M., Walker, J.. C., Folk, W.. R., Hannink, M., Lubahn, D.. B., Birchler, J.. A., Cheng (2015). From Gigabyte to Kilobyte: A Bioinformatics Protocol for Mining Large RNA-Seq Transcriptomics Data. , 10(4), e0125000. https://doi.org/10.1371/journal.pone.0125000
Li, N.. M., Song, J., West, P.. T., Zynda, G., Eichten, S.. R., Vaughn, M.. W., Springer (2015). Examining the Causes and Consequences of Context-Specific Differential DNA Methylation in Maize. , 168(4), 1262-1274. https://doi.org/10.1104/pp.15.00052
Lin, D.. J., Lashbrook, C.. C., Cho, S.. K., Butler, N.. M., Sharma, P., Muppirala, U., Severin, A.. J., Hannapel (2015). Transcriptional analysis of phloem-associated cells of potato. , 16(1), 665. https://doi.org/10.1186/s12864-015-1844-2
Liu, A., Ramsay, T., Zinkgraf, M., Sundell, D., Street, N.. R., Filkov, V., Groover (2015). A resource for characterizing genome-wide binding and putative target genes of transcription factors expressed during secondary growth and wood formation in Populus. , 82(5), 887-898. https://doi.org/10.1111/tpj.12850
Liu, G., Niu, Y., Gonzalez-Portilla, P.. J., Zhou, H., Wang, L., Zuo, T., Qin, C., Tai, S., Jansen, C., Shen, Y., Lin, H., Lee, M., Ware, D., Zhang, Z., Lübberstedt, T., Pan (2015). An ultra-high-density map as a community resource for discerning the genetic basis of quantitative traits in maize. , 16(1), 1078. https://doi.org/10.1186/s12864-015-2242-5
Liu, Y.. e.. a. (2015). Large-Scale Next-Generation Resequencing of Soybean Germplasm for Trait Discovery. .
Lushbough, R., Gnimpieba, E.. Z., Dooley (2015). Life science data analysis workflow development using the bioextract server leveraging the iPlant collaborative cyberinfrastructure: BIOEXTRACT SERVER WORKFLOWS LEVERAGING IPLANT COLLABORATIVE. , 27(2), 408-419. https://doi.org/10.1002/cpe.3237
Lyu, X., Gowik, U., Kelly, S., Covshoff, S., Mallmann, J., Westhoff, P., Hibberd, J.. M., Stata, M., Sage, R.. F., Lu, H., Wei, X., Wong, G.. K., Zhu (2015). RNA-Seq based phylogeny recapitulates previous phylogeny of the genus Flaveria (Asteraceae) with some modifications. , 15(1), 116. https://doi.org/10.1186/s12862-015-0399-9
Ma, A.. G., Hunt (2015). A 3′ RACE Protocol to Confirm Polyadenylation Sites. , 1255, 135-144.
Macías-Duarte, C.. J., Conway (2015). Spatial patterns in hydrogen isotope ratios in feathers of Burrowing Owls from western North America. , 132(1), 25-36. https://doi.org/10.1642/AUK-13-061.1
Macías-Duarte, C.. J., Conway (2015). Distributional Changes in the Western Burrowing Owl ( Athene cunicularia hypugaea ) in North America from 1967 to 2008. , 49(1), 75-83. https://doi.org/10.3356/JRR-14-00004.1
Madduri, I., Chard, K., Chard, R., Lacinski, L., Rodriguez, A., Sulakhe, D., Kelly, D., Dave, U., Foster (2015). The Globus Galaxies platform: delivering science gateways as a service. , 27(16), 4344–4360.
Makarevitch, I. (2015). Bringing Authentic Genomics Research into the Classroom: Analysis of Maize Stress Response (Green Line). .
Marques, A., Ribeiro, T., Neumann, P., Macas, J., Novák, P., Schubert, V., Pellino, M., Fuchs, J., Ma, W., Kuhlmann, M., Brandt, R., Vanzela, A.. L.. L., Beseda, T., Šimková, H., Pedrosa-Harand, A., Houben (2015). Holocentromeres in Rhynchospora are associated with genome-wide centromere-specific repeat arrays interspersed among euchromatin. , 112(44), 13633-13638. https://doi.org/10.1073/pnas.1512255112
Marru, C., Pierce, M., Pamidighantam, S., Wimalasena (2015). Apache Airavata as a Laboratory: Architecture and Case Study for Component-Based Gateway Middleware. , 19-26. https://doi.org/10.1145/2753524.2753529
Martin, R., Cook, C., Matasci, N., Williams, J., Bastow (2015). Data mining with iPlant: A meeting report from the 2013 GARNet workshop, Data mining with iPlant. , 66(1), 6-Jan. https://doi.org/10.1093/jxb/eru402
McCarthy, F. (2015). Functional Analysis of Your RNAseq Data. .
McGregor, J., Bennett, D., Majumdar, S., Nandy, B., Melendez, J., St-Hilaire, M., Lau, D., Liu (2015). A Cloud-Based Platform for Supporting Research Collaboration. , 1107-1110. https://doi.org/10.1109/CLOUD.2015.162
Michaletz, B.. J., Weiser, M.. D., Zhou, J., Kaspari, M., Helliker, B.. R., Enquist (2015). Plant Thermoregulation: Energetics, Trait–Environment Interactions, and Carbon Economics. , 30(12), 714-724. https://doi.org/10.1016/j.tree.2015.09.006
Micklos, D. (2015). Simplifying Genome Annotation and Examples of Large-Scale Projects in DNA Barcoding (Red and Blue Lines). .
Micklos, D. (2015). Using Students' Own DNA Sequences to Explore Human Evolution. .
Mikheyev, J., Arora (2015). Using experimental evolution and next-generation sequencing to teach bench and bioinformatic skills. .
Minervini, S.. A., Scharr, H., Tsaftaris (2015). Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]. , 32(4), 126-131. https://doi.org/10.1109/MSP.2015.2405111
Ming, Q., VanBuren, R., Wai, C.. M., Tang, H., Schatz, M.. C., Bowers, J.. E., Lyons, E., Wang, M., Chen, J., Biggers, E., Zhang, J., Huang, L., Zhang, L., Miao, W., Zhang, J., Ye, Z., Miao, C., Lin, Z., Wang, H., Zhou, H., Yim, W.. C., Priest, H.. D., Zheng, C., Woodhouse, M., Edger, P.. P., Guyot, R., Guo, H., Guo, H., Zheng, G., Singh, R., Sharma, A., Min, X., Zheng, Y., Lee, H., Gurtowski, J., Sedlazeck, F.. J., Harkess, A., McKain, M.. R., Liao, Z., Fang, J., Liu, J., Zhang, X., Zhang, Q., Hu, W., Qin, Y., Wang, K., Chen, L., Shirley, N., Lin, Y., Liu, L., Hernandez, A.. G., Wright, C.. L., Bulone, V., Tuskan, G.. A., Heath, K., Zee, F., Moore, P.. H., Sunkar, R., Leebens-Mack, J.. H., Mockler, T., Bennetzen, J.. L., Freeling, M., Sankoff, D., Paterson, A.. H., Zhu, X., Yang, X., Smith, J.. A.. C., Cushman, J.. C., Paull, R.. E., Yu (2015). The pineapple genome and the evolution of CAM photosynthesis. , 47(12), 1435-1442. https://doi.org/10.1038/ng.3435
Mirarab, T., Nguyen, N., Guo, S., Wang, L., Kim, J., Warnow (2015). PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences. , 22(5), 377-386. https://doi.org/10.1089/cmb.2014.0156
Morajkar, S., Sajeev, S., Hegde (2015). A DNA Barcode for stenochlaena palustris: an edible medicinal fern. , 32, 124-131.
Nelson, A.. D.. e.. a. (2015). Utilizing iPlant to Unearth Long Non-Coding RNAs and Characterize Their Evolution in the Plant Family Brassicaceae. .
Noutsos, D.. H., Perera, A.. M., Nikolau, B.. J., Seaver, S.. M.. D., Ware (2015). Metabolomic Profiling of the Nectars of Aquilegia pubescens and A. Canadensis. , 10(5), e0124501. https://doi.org/10.1371/journal.pone.0124501
Nwakanma, M., Ude, G., Unachukwu (2015). and www.biotechsocietynigeria.org DOI: http://dx.doi.org/10.4314/njb.v29i1.4 The Use of DNA Barcoding in Identification of Genetic Diversity of Fish in Ugwu-Omu Nike River in Enugu. , 29(1), 27. https://doi.org/10.4314/njb.v29i1.4
Oellrich, E., Walls, R.. L., Cannon, E., Cannon, S.. B., Cooper, L., Gardiner, J., Gkoutos, G.. V., Harper, L., He, M., Hoehndorf, R., Jaiswal, P., Kalberer, S.. R., Lloyd, J.. P., Meinke, D., Menda, N., Moore, L., Nelson, R.. T., Pujar, A., Lawrence, C.. J., Huala (2015). An ontology approach to comparative phenomics in plants. , 11(1), 10. https://doi.org/10.1186/s13007-015-0053-y
Ohyanagi, K., Obayashi, T., Yano (2015). Editorial: Plant and Cell Physiology’s 2015 Database Issue. , 56(1), 6-Apr. https://doi.org/10.1093/pcp/pcu206
Orcutt, F., Rajasekar, A., Moore, R., Vernon (2015). Workflow-Oriented Cyberinfrastructure for Sensor Data Analytics. .
Parmentier, M., McGill, B.. J., Wilson, A.. M., Regetz, J., Jetz, W., Guralnick, R., Tuanmu, M., Schildhauer (2015). Using multi-timescale methods and satellite-derived land surface temperature for the interpolation of daily maximum air temperature in Oregon: INTERPOLATING DAILY TEMPERATURE WITH LAND SURFACE TEMPERATURE. , 35(13), 3862-3878. https://doi.org/10.1002/joc.4251
Peterson, J., Malloy, J., Buonaccorsi, V., Marden (2015). Teaching RNAseq at undergraduate institutions: a tutorial and R package from the Genome Consortium for Active Teaching. .
Poelchau, K., Childers, C., Moore, G., Tsavatapalli, V., Evans, J., Lee, C., Lin, H., Lin, J., Hackett (2015). The i5k Workspace@NAL—enabling genomic data access, visualization and curation of arthropod genomes. , 43(D1), D714-D719. https://doi.org/10.1093/nar/gku983
Poldrack, J., Poline (2015). The publication and reproducibility challenges of shared data. , 19(2), 59-61. https://doi.org/10.1016/j.tics.2014.11.008
Reed, Z., Barr, W.. A., Mcpherron, S.. P., Bobe, R., Geraads, D., Wynn, J.. G., Alemseged (2015). Digital data collection in paleoanthropology: Digital Data Collection in Paleoanthropology. , 24(6), 238-249. https://doi.org/10.1002/evan.21466
Richards, S. (2015). It's more than stamp collecting: how genome sequencing can unify biological research. , 31(7), 411-421. https://doi.org/10.1016/j.tig.2015.04.007
Rocca-Serra, A., Walls, R., Parnell, J., Gallery, R., Zheng, J., Sansone, S., Gonzalez-Beltran (2015). Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach. , 2015(0), bau132-bau132. https://doi.org/10.1093/database/bau132
Roux, M.. B., Hallam, S.. J., Woyke, T., Sullivan (2015). Viral dark matter and virus–host interactions resolved from publicly available microbial genomes. , 4, e08490. https://doi.org/10.7554/eLife.08490
Roux, M.. B., Enault, F., Hurwitz, B.. L., Sullivan (2015). VirSorter: mining viral signal from microbial genomic data. , 3, e985. https://doi.org/10.7717/peerj.985
Sadler, J.. M. (2015). Hydrologic Data Sharing Using Open Source Software and Low-Cost Electronics. .
Shanahan, S., Harrison, A., Tobias May (2015). Teaching Data Science and Cloud Computing in Low and Middle Income Countries. , 3(3). https://doi.org/10.4172/2379-1764.1000150
Shipunov, J., Abramova, L., Beaudoin, J., Choi, J., Fry, D., Perry, R., Shipunova, V., Schumaier, J., Theodore (2015). Flora of North Dakota project. , 16, 1–10.
Sivasubramanian, J., Mukhi, N., Kaur (2015). Arabidopsis thaliana: A Model for Plant Research. , 26-Jan.
Spannagl, M. (2015). The genomic repertoire of complex and polyploid cereal genomes. .
Stewart, S., Turner, G., Vaughn, M., Gaffney, N.. I., Cockerill, T.. M., Foster, I., Hancock, D., Merchant, N., Skidmore, E., Stanzione, D., Taylor, J., Tuecke (2015). Jetstream: a self-provisioned, scalable science and engineering cloud environment. , 8-Jan. https://doi.org/10.1145/2792745.2792774
Subramaniam, S. (2015). Management and Visualization of Ianimal Quantitative Data Using iPlant and EPIC-CoGe. .
Subramaniam, S. (2015). Flash Demo: Annotating genomes with MAKER-P and the iPlant Discovery Environment. .
Sullivan, M.. B. (2015). Viromes, Not Gene Markers, for Studying Double-Stranded DNA Virus Communities. , 89(5), 2459-2461. https://doi.org/10.1128/JVI.03289-14
Tang, C.. D., Lyons, E., Town (2015). Optical mapping in plant comparative genomics. , 4(1), 3. https://doi.org/10.1186/s13742-015-0044-y
Tang, E., Bomhoff, M.. D., Briones, E., Zhang, L., Schnable, J.. C., Lyons (2015). SynFind: compiling syntenic regions across any set of genomes on demand. , 7(12), 3286–3298.
Taylor, D.. B. (2015). Life Sciences Cyberinfrastructure at Your Fingertips: Using Internet2 to Power Scientific Collaboration. .
Taylor, J.. M., Reinders, A., Ward (2015). Transport Function of Rice Amino Acid Permeases (AAPs). , 56(7), 1355-1363. https://doi.org/10.1093/pcp/pcv053
Thessen, P.. M., Bunker, D.. E., Buttigieg, P.. L., Cooper, L.. D., Dahdul, W.. M., Domisch, S., Franz, N.. M., Jaiswal, P., Lawrence-Dill, C.. J., Midford, P.. E., Mungall, C.. J., Ramírez, M.. J., Specht, C.. D., Vogt, L., Vos, R.. A., Walls, R.. L., White, J.. W., Zhang, G., Deans, A.. R., Huala, E., Lewis, S.. E., Mabee (2015). Emerging semantics to link phenotype and environment. , 3, e1470. https://doi.org/10.7717/peerj.1470
Thompson, G.. R., Johnson, C.. P., Lu, A.. Y., Frampton, R.. A., Sullivan, K.. L., Fiers, M.. W.. E.. J., Crowhurst, R.. N., Pitman, A.. R., Scott, I.. A.. W., Wen, A., Gudmestad, N.. C., Smith (2015). Genomes of ‘ Candidatus Liberibacter solanacearum’ Haplotype A from New Zealand and the United States Suggest Significant Genome Plasticity in the Species. , 105(7), 863-871. https://doi.org/10.1094/PHYTO-12-14-0363-FI
Thorp, A., Gore, M., Andrade-Sanchez, P., Carmo-Silva, A., Welch, S., White, J., French (2015). Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics. , 118, 225-236. https://doi.org/10.1016/j.compag.2015.09.005
Townsley, N.. R., Covington, M.. F., Ichihashi, Y., Zumstein, K., Sinha (2015). BrAD-seq: Breath Adapter Directional sequencing: a streamlined, ultra-simple and fast library preparation protocol for strand specific mRNA library construction. , 6. https://doi.org/10.3389/fpls.2015.00366
Twyford, J., Friedman (2015). Adaptive divergence in the monkey flower Mimulus guttatus is maintained by a chromosomal inversion: GENETICS OF ADAPTIVE DIVERGENCE IN MONKEY FLOWERS. , 69(6), 1476-1486. https://doi.org/10.1111/evo.12663
VanBuren, T.. C., Bryant, D., Edger, P.. P., Tang, H., Burgess, D., Challabathula, D., Spittle, K., Hall, R., Gu, J., Lyons, E., Freeling, M., Bartels, D., Ten Hallers, B., Hastie, A., Michael, T.. P., Mockler (2015). Single-molecule sequencing of the desiccation-tolerant grass Oropetium thomaeum. , 527(7579), 508-511. https://doi.org/10.1038/nature15714
Vaughn, M.. e.. a. (2015). Developing Content for the Arabidopsis Information Portal. .
Vaughn, j.. o.. P., Animal Genome XXIII, S., Rieger (2015). What’s Talking?. , 59.
Villanueva-Rosales, L.. G., del Rio, N., Pennington, D., Chavira (2015). Semantic Bridges for Biodiversity Sciences. , 9367, 310-317.
Walley, J.. D., Moore (2015). Biotechnology and genomics: exploiting the potential of CWR. .
Wang, D., Van Buren, P., Ware (2015). Architecting a distributed bioinformatics platform with iRODS and iPlant Agave API. .
Wang, L., Ware, D., Lushbough, C., Merchant, N., Stein (2015). A genome-wide association study platform built on iPlant cyber-infrastructure: A GWAS PLATFORM BUILT ON iPLANT CYBER-INFRASTRUCTURE. , 27(2), 420-432. https://doi.org/10.1002/cpe.3236
Wells, D.. G., Vendramin, E., Jimenez Tarodo, S., Verde, I., Bielenberg (2015). A genome-wide analysis of MADS-box genes in peach [Prunus persica (L.) Batsch]. , 15(1), 41. https://doi.org/10.1186/s12870-015-0436-2
Wiens, J.. J. (2015). Faster diversification on land than sea helps explain global biodiversity patterns among habitats and animal phyla. , 18(11), 1234-1241. https://doi.org/10.1111/ele.12503
Williams, B.. J., Henry, H.. A.. L., Sinclair (2015). Cold truths: how winter drives responses of terrestrial organisms to climate change: Organismal responses to winter climate change. , 90(1), 214-235. https://doi.org/10.1111/brv.12105
Yang, J.. M., Koltes, J.. E., Park, C.. A., Chen, D., Reecy (2015). Gene Co-Expression Network Analysis Provides Novel Insights into Myostatin Regulation at Three Different Mouse Developmental Timepoints. , 10(2), e0117607. https://doi.org/10.1371/journal.pone.0117607
Yu, D., Main (2015). Role of Bioinformatic Tools and Databases in Cotton Research. .
Zheng, E.. C., Tian, L., Bu, W., Fan, C., Gao, X., Wang, H., Liao, Y., Li, Y., Lewis, M.. T., Edwards, D., Zwaka, T.. P., Hilsenbeck, S.. G., Medina, D., Perou, C.. M., Creighton, C.. J., Zhang, X.. H., Chang (2015). Wild-Type N-Ras, Overexpressed in Basal-like Breast Cancer, Promotes Tumor Formation by Inducing IL-8 Secretion via JAK2 Activation. , 12(3), 511-524. https://doi.org/10.1016/j.celrep.2015.06.044
Zhu, J., Sun, L., Garbarino, A., Schmidt, C., Fang, J., Chen (2015). PathRings: a web-based tool for exploration of ortholog and expression data in biological pathways. , 16(1), 165. https://doi.org/10.1186/s12859-015-0585-1
Zulfiqar, Q., Hafeez, M.. N., Iqbal, M.. S., Ali (2015). Role of genetic studies towards solving problems of human society. , 13(14).
Zulfiqar, S., Hafeez, M.. N., Iqbal, M.. S., Ali, Q. (2015). Role of genetic studies toward s solving problems of human society. Nature Sci, 13.
da Silva, M., Juve, G., Rynge, M., Deelman, E., Livny (2015). Online Task Resource Consumption Prediction for Scientific Workflows. , 25(3), 1541003. https://doi.org/10.1142/S0129626415410030
Šímová, B.. J., Violle, C., Kraft, N.. J.. B., Storch, D., Svenning, J., Boyle, B., Donoghue, J.. C., Jørgensen, P., McGill, B.. J., Morueta-Holme, N., Piel, W.. H., Peet, R.. K., Regetz, J., Schildhauer, M., Spencer, N., Thiers, B., Wiser, S., Enquist (2015). Shifts in trait means and variances in North American tree assemblages: species richness patterns are loosely related to the functional space. , 38(7), 649-658. https://doi.org/10.1111/ecog.00867
2014
Amrine, D.. H., Swingley, W.. D., Ardell (2014). tRNA Signatures Reveal a Polyphyletic Origin of SAR11 Strains among Alphaproteobacteria. , 10(2), e1003454. https://doi.org/10.1371/journal.pcbi.1003454
Aronson, B., others, M.. F., La Sorte, F.. A., Nilon, C.. H., Katti, M., Goddard, M.. A., Lepczyk, C.. A., Warren, P.. S., Williams, N.. S., Cilliers, S., Clarkson (2014). A global analysis of the impacts of urbanization on bird and plant diversity reveals key anthropogenic drivers. , 281(1780), 20133330.
Aronson, M., La Sorte, F.. A., Nilon, C.. H., Katti, M., Goddard, M.. A., Lepczyk, C.. A., Warren, P.. S., Williams, N.. S.. G., Cilliers, S., Clarkson, B., Dobbs, C., Dolan, R., Hedblom, M., Klotz, S., Kooijmans, J.. L., Kühn, I., MacGregor-Fors, I., McDonnell, M., Mörtberg, U., Pyšek, P., Siebert, S., Sushinsky, J., Werner, P., Winter (2014). A global analysis of the impacts of urbanization on bird and plant diversity reveals key anthropogenic drivers. , 281(1780), 20133330. https://doi.org/10.1098/rspb.2013.3330
Barton, S.. P., Iliopoulos, C.. S., Lee, I., Mouchard, L., Park, K., Pissis (2014). Extending alignments with k -mismatches and ℓ -gaps. , 525, 80-88. https://doi.org/10.1016/j.tcs.2013.06.012
Belamkar, S.. B., Weeks, N.. T., Bharti, A.. K., Farmer, A.. D., Graham, M.. A., Cannon (2014). Comprehensive characterization and RNA-Seq profiling of the HD-Zip transcription factor family in soybean (Glycine max) during dehydration and salt stress. , 15(1), 950. https://doi.org/10.1186/1471-2164-15-950
Brauer, S.. C., Singh, D.. K., Popescu (2014). Next-generation plant science: putting big data to work. , 15(1), 301. https://doi.org/10.1186/gb4149
Brunbjerg, J., Cavender-Bares, J., Eiserhardt, W.. L., Ejrnaes, R., Aarssen, L.. W., Buckley, H.. L., Forey, E., Jansen, F., Kattge, J., Lane, C., Lubke, R.. A., Moles, A.. T., Monserrat, A.. L., Peet, R.. K., Roncal, J., Wootton, L., Svenning (2014). Multi-scale phylogenetic structure in coastal dune plant communities across the globe. , 7(2), 101-114. https://doi.org/10.1093/jpe/rtt069
Buckner, B. (2014). Introducing Genome Browsers, Genome Structure, and Gene Annotation. .
Caciula, A. (2014). Optimization techniques for next-generation sequencing data analysis. .
Campbell, M., Holt, C., Moore, B., Yandell (2014). Genome Annotation and Curation Using MAKER and MAKER-P: Genome Annotation and Curation Using MAKER and MAKER-P. , 4.11.1-4.11.39.
Campbell, M., Law, M., Holt, C., Stein, J.. C., Moghe, G.. D., Hufnagel, D.. E., Lei, J., Achawanantakun, R., Jiao, D., Lawrence, C.. J., Ware, D., Shiu, S., Childs, K.. L., Sun, Y., Jiang, N., Yandell (2014). MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations. , 164(2), 513-524. https://doi.org/10.1104/pp.113.230144
Carnaby, S., Charters, S., Staincliffe, P., Cahalane, R., Laurenson, M., Gibb, R., McGlinchy, A., Sutherland (2014). Lincoln Hub data and information architecture project: DATA$^2$: Data architecture transforming access & analysis. .
Chalhoub, P., Denoeud, F., Liu, S., Parkin, I.. A.. P., Tang, H., Wang, X., Chiquet, J., Belcram, H., Tong, C., Samans, B., Correa, M., Da Silva, C., Just, J., Falentin, C., Koh, C.. S., Le Clainche, I., Bernard, M., Bento, P., Noel, B., Labadie, K., Alberti, A., Charles, M., Arnaud, D., Guo, H., Daviaud, C., Alamery, S., Jabbari, K., Zhao, M., Edger, P.. P., Chelaifa, H., Tack, D., Lassalle, G., Mestiri, I., Schnel, N., Le Paslier, M., Fan, G., Renault, V., Bayer, P.. E., Golicz, A.. A., Manoli, S., Lee, T., Thi, V.. H.. D., Chalabi, S., Hu, Q., Fan, C., Tollenaere, R., Lu, Y., Battail, C., Shen, J., Sidebottom, C.. H.. D., Wang, X., Canaguier, A., Chauveau, A., Berard, A., Deniot, G., Guan, M., Liu, Z., Sun, F., Lim, Y.. P., Lyons, E., Town, C.. D., Bancroft, I., Wang, X., Meng, J., Ma, J., Pires, J.. C., King, G.. J., Brunel, D., Delourme, R., Renard, M., Aury, J., Adams, K.. L., Batley, J., Snowdon, R.. J., Tost, J., Edwards, D., Zhou, Y., Hua, W., Sharpe, A.. G., Paterson, A.. H., Guan, C., Wincker (2014). Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. , 345(6199), 950-953. https://doi.org/10.1126/science.1253435
Chen, V.. C., Mao, S., Zhang, Y., Leung (2014). Big Data. .
Chen, Y., Mao, S., Liu (2014). Big data: A survey. , 19(2), 171–209.
Cholia, T., Sun (2014). The NEWT Platform: An Extensible Plugin Framework for Creating ReSTful HPC APIs. , 17-20. https://doi.org/10.1109/GCE.2014.14
Cuccuru, G., Leo, S., Lianas, L., Muggiri, M., Pinna, A., Pireddu, L., Uva, P., Angius, A., Fotia, G., Zanetti (2014). An automated infrastructure to support high-throughput bioinformatics. , 600-607. https://doi.org/10.1109/HPCSim.2014.6903742
Dahdul, M.. A., Cui, H., Mabee, P.. M., Mungall, C.. J., Osumi-Sutherland, D., Walls, R.. L., Haendel (2014). Nose to tail, roots to shoots: spatial descriptors for phenotypic diversity in the Biological Spatial Ontology. , 5(1), 34. https://doi.org/10.1186/2041-1480-5-34
Das, J.. S., Bucksch, A., Price, C.. A., Weitz (2014). ClearedLeavesDB: an online database of cleared plant leaf images. , 10(1), 8. https://doi.org/10.1186/1746-4811-10-8
Der, J.. P. (2014). A unified global gene family classification resource for plants and its utility for comparative genomics, genome annotation, and gene family studies. .
Dooley, J., Stubbs (2014). Dynamically Provisioning Portable Gateway Infrastructure Using Docker and Agave. , 2-Jan. https://doi.org/10.1145/2616498.2616561
Duvick, J. (2014). Genome annotation in the cloud through xGDBvm virtual server instances deployed at iPlant. .
Esa (2014). The 2014 Annual Reports to the Governing Council: ESA 99 th Annual Meeting, Sacramento, California, August 9 th -15 th , 2014. , 95(4), S1-S69. https://doi.org/10.1890/2014.councilreport
Feltus, F.. A. (2014). Systems genetics: A paradigm to improve discovery of candidate genes and mechanisms underlying complex traits. , 223, 45-48. https://doi.org/10.1016/j.plantsci.2014.03.003
Gardiner, A., Gawroński, P., Olohan, L., Schnurbusch, T., Hall, N., Hall (2014). Using genic sequence capture in combination with a syntenic pseudo genome to map a deletion mutant in a wheat species. , 80(5), 895-904. https://doi.org/10.1111/tpj.12660
Gehring, T.. G., Flores-Rentería, D., Sthultz, C.. M., Leonard, T.. M., Flores-Rentería, L., Whipple, A.. V., Whitham (2014). Plant genetics and interspecific competitive interactions determine ectomycorrhizal fungal community responses to climate change. , 23(6), 1379-1391. https://doi.org/10.1111/mec.12503
Gnimpieba, C.. M., Chango, A., Lushbough (2014). RNA-seq gene and transcript expression analysis using the BioExtract server and iPlant collaborative. , 661-669. https://doi.org/10.1145/2649387.2660822
Goodrich, R.. E., Di Rienzi, S.. C., Poole, A.. C., Koren, O., Walters, W.. A., Caporaso, J.. G., Knight, R., Ley (2014). Conducting a Microbiome Study. , 158(2), 250-262. https://doi.org/10.1016/j.cell.2014.06.037
Gorton, I. (2014). Cyberinfrastructures: Bridging the Divide between Scientific Research and Software Engineering. , 47(8), 48-55. https://doi.org/10.1109/MC.2013.336
Hanlon, E., Vaughn, M., Mock, S., Dooley, R., Moreira, W., Stubbs, J., Town, C., Miller, J., Krishnakumar, V., Ferlanti, E., Pence (2014). The Arabidopsis Information Portal: An Application Platform for Data Discovery. , 38-41. https://doi.org/10.1109/GCE.2014.10
Hanssen, A., Heggberget, T., Bladt, J., Endresen, D., Forsius, M., Gudmundsson, G., Gärdenfors, U., Heiðmarsson, S., Kindvall, O., Koch, W., Koviula, K., Laiho, E., Laine, K., Obst, M., Skov, F., Telenius, A., Vallan, N., Wasowicz, P., Wremp (2014). Nordic LifeWatch Cooperation. Final report.. .
Hart, M., Schuele, A., Soriano, E., Dahan, M., Hanlon (2014). XRAS: Allocations software as a service in XSEDE. , 8-Jan. https://doi.org/10.1145/2616498.2616562
Hilgert, D., McKay, S., Khalfan, M., Williams, J., Ghiban, C., Micklos (2014). DNA Subway: Making Genome Analysis Egalitarian. , 3-Jan. https://doi.org/10.1145/2616498.2616575
Holmgren, J.. L., Betancourt, J.. L., Peñalba, M.. C., Delgadillo, J., Zuravnsky, K., Hunter, K.. L., Rylander, K.. A., Weiss (2014). Evidence against a Pleistocene desert refugium in the Lower Colorado River Basin. , 41(9), 1769-1780. https://doi.org/10.1111/jbi.12337
Horvath, D., James V. Anderson, Munevver Dogramaci, Brian Scheffler (2014). Progress in Sequencing the Genome of an Invasive Polyploid Weed (Leafy Spurge). .
Huang, E.. A., Feldman, M., Schroder, S., Bahri, B.. A., Diao, X., Zhi, H., Estep, M., Baxter, I., Devos, K.. M., Kellogg (2014). Population genetics of Setaria viridis , a new model system. , 23(20), 4912-4925. https://doi.org/10.1111/mec.12907
Hurwitz, B. (2014). iMicrobe: Advancing Clinical and Environmental Microbial Research using the iPlant Cyberinfrastructure. .
Hurwitz, M.. B., Westveld, A.. H., Brum, J.. R., Sullivan (2014). Modeling ecological drivers in marine viral communities using comparative metagenomics and network analyses. , 111(29), 10714-10719. https://doi.org/10.1073/pnas.1319778111
Ichihashi, N.. R., Aguilar-Martinez, J.. A., Farhi, M., Chitwood, D.. H., Kumar, R., Millon, L.. V., Peng, J., Maloof, J.. N., Sinha (2014). Evolutionary developmental transcriptomics reveals a gene network module regulating interspecific diversity in plant leaf shape. , 111(25), E2616-E2621. https://doi.org/10.1073/pnas.1402835111
Izquierdo-Carrasco, A., Cazes, J., Smith, S.. A., Stamatakis (2014). PUmPER: phylogenies updated perpetually. , 30(10), 1476–1477.
Jamann, R.. J., Poland, J.. A., Kolkman, J.. M., Smith, L.. G., Nelson (2014). Unraveling Genomic Complexity at a Quantitative Disease Resistance Locus in Maize. , 198(1), 333-344. https://doi.org/10.1534/genetics.114.167486
Jazayeri, H.. M., Melgarejo-Muñoz, L.. M., Romero (2014). RNA-SEQ: A GLANCE AT TECHNOLOGIES AND METHODOLOGIES. , 20(2). https://doi.org/10.15446/abc.v20n2.43639
Kanewala, M., Marru, S., Basney, J., Pierce (2014). A Credential Store for Multi-tenant Science Gateways. , 445-454. https://doi.org/10.1109/CCGrid.2014.95
Katz, C., Choi, S.. T., Lapp, H., Maheshwari, K., Löffler, F., Turk, M., Hanwell, M.. D., Wilkins-Diehr, N., Hetherington, J., Howison, J., Swenson, S., Allen, G.. D., Elster, A.. C., Berriman, B., Venters (2014). Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1). , 2(1), e6. https://doi.org/10.5334/jors.an
Kim, J.. H., LeBlanc, M.. L., Wafula, E.. K., dePamphilis, C.. W., Westwood (2014). Genomic-scale exchange of mRNA between a parasitic plant and its hosts. , 345(6198), 808-811. https://doi.org/10.1126/science.1253122
Koesterke, D., Koltes, J.. E., Weeks, N.. T., Milfeld, K., Vaughn, M.. W., Reecy, J.. M., Stanzione (2014). Discovery of biological networks using an optimized partial correlation coefficient with information theory algorithm on Stampede's Xeon and Xeon Phi processors: ACCELERATED BIOLOGICAL NETWORK DISCOVERY WITH PCIT. , 26(13), 2178-2190. https://doi.org/10.1002/cpe.3252
Lammers, B., Peelen, T., Vos, R.. A., Gravendeel (2014). The HTS barcode checker pipeline, a tool for automated detection of illegally traded species from high-throughput sequencing data. , 15(1), 44. https://doi.org/10.1186/1471-2105-15-44
Lawrence, S., Wilkins-Diehr, N., Wernert, J.. A., Pierce, M., Zentner, M., Marru (2014). Who Cares about Science Gateways? A Large-Scale Survey of Community Use and Needs. , 4-Jan. https://doi.org/10.1109/GCE.2014.11
LeDuc, W., Vaughn, M., Fonner, J.. M., Sullivan, M., Williams, J.. G., Blood, P.. D., Taylor, J., Barnett (2014). Leveraging the national cyberinfrastructure for biomedical research. , 21(2), 195-199. https://doi.org/10.1136/amiajnl-2013-002059
Li, H.. H., Yonggang Wen, Tat-Seng Chua, Xuelong (2014). Toward Scalable Systems for Big Data Analytics: A Technology Tutorial. , 2, 652-687. https://doi.org/10.1109/ACCESS.2014.2332453
Ma, X., Zhang, H.. H., Wang (2014). Machine learning for Big Data analytics in plants. , 19(12), 798-808. https://doi.org/10.1016/j.tplants.2014.08.004
Maia, D.. E., Gitzendanner, M.. A., Soltis, P.. S., Wong, G.. K., Soltis (2014). Angiosperm phylogeny based on 18S/26S rDNA sequence data: constructing a large data set using next-generation sequence data. , 175(6), 613–650.
Makinde, D. (2014). African Orphan Crops Consortium: a NEPAD-led initiative. , 57.
Mandadi, K.. K., Karen-Beth G. Scholthof (2014). Transcriptomic Analyses and Alternative Splicing Landscapes of Brachypodium Infected with Panicum Mosaic Virus. .
Matasci, G.. K., Hung, L., Yan, Z., Carpenter, E.. J., Wickett, N.. J., Mirarab, S., Nguyen, N., Warnow, T., Ayyampalayam, S., Barker, M., Burleigh, J.. G., Gitzendanner, M.. A., Wafula, E., Der, J.. P., dePamphilis, C.. W., Roure, B., Philippe, H., Ruhfel, B.. R., Miles, N.. W., Graham, S.. W., Mathews, S., Surek, B., Melkonian, M., Soltis, D.. E., Soltis, P.. S., Rothfels, C., Pokorny, L., Shaw, J.. A., DeGironimo, L., Stevenson, D.. W., Villarreal, J.. C., Chen, T., Kutchan, T.. M., Rolf, M., Baucom, R.. S., Deyholos, M.. K., Samudrala, R., Tian, Z., Wu, X., Sun, X., Zhang, Y., Wang, J., Leebens-Mack, J., Wong (2014). Data access for the 1,000 Plants (1KP) project. , 3(1), 17. https://doi.org/10.1186/2047-217X-3-17
Melicher, J.. H., Torson, A.. S., Dworkin, I., Bowsher (2014). A pipeline for the de novo assembly of the Themira biloba (Sepsidae: Diptera) transcriptome using a multiple k-mer length approach. , 15(1), 188. https://doi.org/10.1186/1471-2164-15-188
Mentewab, B., Matheson, K., Adebiyi, M., Robinson, S., Elston (2014). RNA-seq analysis of the effect of kanamycin and the ABC transporter AtWBC19 on Arabidopsis thaliana seedlings reveals changes in metal content. , 9(10), e109310.
Merelli, D., Pérez-Sánchez, H., Gesing, S., D’Agostino (2014). High-Performance Computing and Big Data in Omics-Based Medicine. , 2014, 2-Jan. https://doi.org/10.1155/2014/825649
Merelli, D., Pérez-Sánchez, H., Gesing, S., D’Agostino (2014). Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives. , 2014.
Michaletz, B.. J., Cheng, D., Kerkhoff, A.. J., Enquist (2014). Convergence of terrestrial plant production across global climate gradients. , 512(7512), 39-43. https://doi.org/10.1038/nature13470
Micklos, D. (2014). A Simple Bioinformatics Workflow for RNA-Seq Analysis and Distributed Genome Annotation. .
Minervini, S.. A., Abdelsamea, M.. M., Tsaftaris (2014). Image-based plant phenotyping with incremental learning and active contours. , 23, 35-48. https://doi.org/10.1016/j.ecoinf.2013.07.004
Mirarab, T., Reaz, R., Bayzid, M.. S., Zimmermann, T., Swenson, M.. S., Warnow (2014). ASTRAL: genome-scale coalescent-based species tree estimation. , 30(17), i541-i548. https://doi.org/10.1093/bioinformatics/btu462
Mirarab, T., Bayzid, M.. S., Boussau, B., Warnow (2014). Binning Code for Mirarab et. al.. .
Mirarab, T., Bayzid, M.. S., Boussau, B., Warnow (2014). Avian Model Species Trees for 1X Model Condition for Mirarab et. al.. .
Mirarab, T., Bayzid, M.. S., Boussau, B., Warnow (2014). Sequence Alignments and Trees for Avian 1X for Mirarab et. al.. .
Mirarab, T., Bayzid, M.. S., Boussau, B., Warnow (2014). Bin Definition for Super Gene Trees for Mirarab et. al.. .
Mirarab, T., Nguyen, N., Warnow (2014). PASTA: ultra-large multiple sequence alignment. , 177–191.
Mohan, T., Hacker, T., Rodgers, G.. P., Islam (2014). Batchsubmit: a high-volume batch submission system for earthquake engineering simulation: BATCHSUBMIT: A HIGH-VOLUME BATCH SUBMISSION SYSTEM. , 26(13), 2240-2252. https://doi.org/10.1002/cpe.3234
Nezhad, A.. S. (2014). Future of portable devices for plant pathogen diagnosis. , 14(16), 2887-2904. https://doi.org/10.1039/C4LC00487F
Ningthoujam, A.. D., Choudhury, M.. D., Potsangbam, K.. S., Chetia, P., Nahar, L., Sarker, S.. D., Basar, N., Talukdar (2014). NoSQL Data Model for Semi-automatic Integration of Ethnomedicinal Plant Data from Multiple Sources: NoSQL Data Model for Integration of Ethnomedicinal Plant Data. , 25(6), 495-507. https://doi.org/10.1002/pca.2520
Numa, T., Itoh (2014). MEGANTE: A Web-Based System for Integrated Plant Genome Annotation. , 55(1), e2-e2. https://doi.org/10.1093/pcp/pct157
Oaks, J.. R. (2014). An Improved Approximate-Bayesian Model-choice Method for Estimating Shared Evolutionary History. , 14(1), 150. https://doi.org/10.1186/1471-2148-14-150
Oaks, J., Linkem, C.. W., Sukumaran (2014). Implications of uniformly distributed, empirically informed priors for phylogeographical model selection: A reply to Hickerson et al. , 68(12), 3607-3617. https://doi.org/10.1111/evo.12523
Parr, R., Wilson, N., Leary, P., Schulz, K., Lans, K., Walley, L., Hammock, J., Goddard, A., Rice, J., Studer, M., Holmes, J., Corrigan, J. (2014). The Encyclopedia of Life v2: Providing Global Access to Knowledge About Life on Earth. , 2, e1079. https://doi.org/10.3897/BDJ.2.e1079
Parry, G. (2014). Components of the Arabidopsis nuclear pore complex play multiple diverse roles in control of plant growth. , 65(20), 6057-6067. https://doi.org/10.1093/jxb/eru346
Poelchau, P., Huang, X., Goff, A., Reynolds, J., Armbruster (2014). An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus. (93), 51961. https://doi.org/10.3791/51961
Rajasekar, A. (2014). The Librarian & the Big Data: Bridging the Gap. .
Rajasekar, R., Xu, H., Moore (2014). Note on Three Classes of Data Grid Operations. , 2(6), 6-Jan. https://doi.org/10.4236/jcc.2014.26001
Ranjan, N.. R., Ichihashi, Y., Farhi, M., Zumstein, K., Townsley, B., David-Schwartz, R., Sinha (2014). De Novo Assembly and Characterization of the Transcriptome of the Parasitic Weed Dodder Identifies Genes Associated with Plant Parasitism. , 166(3), 1186-1199. https://doi.org/10.1104/pp.113.234864
Reecy, J., J.P. Carson, F. McCarthy, J.E. Koltes, E. Friz-Waters, J. Williams, E. Lyons, C.F. Baes, M.W. Vaughn (2014). Cyberinfrastructure for Life Sciences - iAnimal resources for genomics and other data driven biology. , 9911.
Reecy, J., C. Baes, E. Fritz-Waters, James E. Koltes, M. Dolezal, B. Bapts, C. Flury, H. Signer-Hasler, C. Stricker, Rohan L. Fernando, Dorian J. Garrick., Fritz Schmitz-Hsu, B. Gredler, Matt Vaughn (2014). Computational resources to facilitate variant discovery and analysis. , 23.
Rees, T. (2014). Taxamatch, an Algorithm for Near (‘Fuzzy’) Matching of Scientific Names in Taxonomic Databases. , 9(9), e107510. https://doi.org/10.1371/journal.pone.0107510
Rhee, M., Mutwil (2014). Towards revealing the functions of all genes in plants. , 19(4), 212-221. https://doi.org/10.1016/j.tplants.2013.10.006
Robinson, R.. P., Regetz, J., Guralnick (2014). EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data. , 87, 57-67. https://doi.org/10.1016/j.isprsjprs.2013.11.002
Ruhfel, J., Gitzendanner, M.. A., Soltis, P.. S., Soltis, D.. E., Burleigh (2014). From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes. , 14(1), 23. https://doi.org/10.1186/1471-2148-14-23
Sachdeva, B., Edmeades, G.. O., Mumm, R.. H., Rafalski, A.. J., Bennett (2014). Report of the final external review of the Generation Challenge Programme. .
Schatz, W.. R., Maron, L.. G., Stein, J.. C., Hernandez Wences, A., Gurtowski, J., Biggers, E., Lee, H., Kramer, M., Antonio, E., Ghiban, E., Wright, M.. H., Chia, J., Ware, D., McCouch, S.. R., McCombie (2014). New whole genome de novo assemblies of three divergent strains of rice (O. sativa) documents novel gene space of aus and indica. .
Scott, T. (2014). Identification of GCN4 homologues in maize using a bioinformatics approach. .
Shaffer, S.. C.. R., Alvarez, C.. J., Bednarski, A.. E., Dunbar, D., Goodman, A.. L., Reinke, C., Rosenwald, A.. G., Wolyniak, M.. J., Bailey, C., Barnard, D., Bazinet, C., Beach, D.. L., Bedard, J.. E.. J., Bhalla, S., Braverman, J., Burg, M., Chandrasekaran, V., Chung, H., Clase, K., DeJong, R.. J., DiAngelo, J.. R., Du, C., Eckdahl, T.. T., Eisler, H., Emerson, J.. A., Frary, A., Frohlich, D., Gosser, Y., Govind, S., Haberman, A., Hark, A.. T., Hauser, C., Hoogewerf, A., Hoopes, L.. L.. M., Howell, C.. E., Johnson, D., Jones, C.. J., Kadlec, L., Kaehler, M., Silver Key, S.. C., Kleinschmit, A., Kokan, N.. P., Kopp, O., Kuleck, G., Leatherman, J., Lopilato, J., MacKinnon, C., Martinez-Cruzado, J.. C., McNeil, G., Mel, S., Mistry, H., Nagengast, A., Overvoorde, P., Paetkau, D.. W., Parrish, S., Peterson, C.. N., Preuss, M., Reed, L.. K., Revie, D., Robic, S., Roecklein-Canfield, J., Rubin, M.. R., Saville, K., Schroeder, S., Sharif, K., Shaw, M., Skuse, G., Smith, C.. D., Smith, M.. A., Smith, S.. T., Spana, E., Spratt, M., Sreenivasan, A., Stamm, J., Szauter, P., Thompson, J.. S., Wawersik, M., Youngblom, J., Zhou, L., Mardis, E.. R., Buhler, J., Leung, W., Lopatto, D., Elgin (2014). A Course-Based Research Experience: How Benefits Change with Increased Investment in Instructional Time. , 13(1), 111-130. https://doi.org/10.1187/cbe-13-08-0152
Smith, T.. L., Niewohner, D.. J., Dewey, G.. D., Longo, A.. M., Guy, T.. L., Higgins, B.. R., Daehling, S.. B., Genrich, S.. C., Wentworth, C.. D., Durham Brooks (2014). Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response. (83), 50878. https://doi.org/10.3791/50878
Snoderly-Foster, L. (2014). Characterization of a plant gene family expanded in glycine max. .
Soderlund, S.. A., Nelson, W.. M., Goff (2014). Allele Workbench: Transcriptome Pipeline and Interactive Graphics for Allele-Specific Expression. , 9(12), e115740. https://doi.org/10.1371/journal.pone.0115740
Staff, T.. P.. O. (2014). Correction: De Novo Transcriptome Assembly and Analyses of Gene Expression during Photomorphogenesis in Diploid Wheat Triticum monococcum. , 9(8), e105275. https://doi.org/10.1371/journal.pone.0105275
Stewart, C.. A. (2014). Serving national scientific communities: Genome analysis as an example. .
Stobbe, U., Schneider, W.. L., Hoyt, P.. R., Melcher (2014). Screening Metagenomic Data for Viruses Using the E-Probe Diagnostic Nucleic Acid Assay. , 104(10), 1125-1129. https://doi.org/10.1094/PHYTO-11-13-0310-R
Thavappiragasam, E.. Z., Lushbough, C.. M., Gnimpieba (2014). SBMLChecker, a Semantic approach for SBML model reliability evaluation. , 1.
Thavappiragasam, E.. Z., Lushbough, C.. M., Gnimpieba (2014). Heuristic parallelizable algorithm for similarity based biosystems comparison. , 782-789. https://doi.org/10.1145/2649387.2660849
Tong, X., Yuan, B., Li (2014). Cyberinfrastructure: Applications and challenges. , 74–80.
Towns, N., Cockerill, T., Dahan, M., Foster, I., Gaither, K., Grimshaw, A., Hazlewood, V., Lathrop, S., Lifka, D., Peterson, G.. D., Roskies, R., Scott, J.. R., Wilkins-Diehr (2014). XSEDE: Accelerating Scientific Discovery. , 16(5), 62-74. https://doi.org/10.1109/MCSE.2014.80
Tukamuhabwa, L.. A. (2014). Application of Bioinformatics in Crop Improvement: Annotating the Putative Soybean Rust resistance gene Rpp3 for Enhancing Marker Assisted Selection. , 7(1). https://doi.org/10.4172/jpb.1000296
Uribe-Convers, D.. C., Duke, J.. R., Moore, M.. J., Tank (2014). A Long PCR–Based Approach for DNA Enrichment Prior to Next-Generation Sequencing for Systematic Studies. , 2(1), 1300063. https://doi.org/10.3732/apps.1300063
Van Gorp, L., Rose (2014). Guest editors' introduction to the first issue on Experimental Software Engineering in the Cloud (ESEiC). , 85, 4-Jan. https://doi.org/10.1016/j.scico.2013.12.007
Vasquez-Gross, H., Jacob Zieve, Damian Gessler, David Neale, Jill Wegrzyn (2014). Case Study: Enabling Forest Tree Genomics through Association Studies with the use of SSWAP. .
Vaughn, M. (2014). The Arabidopsis Information Portal: A First Glimpse. .
Verborgh, R., Harth, A., Maleshkova, M., Stadtmüller, S., Steiner, T., Taheriyan, M., Van de Walle (2014). Survey of Semantic Description of REST APIs. , 69-89.
Walls, J., Guralnick, R., Deck, J., Buntzman, A., Buttigieg, P.. L., Davies, N., Denslow, M.. W., Gallery, R.. E., Parnell, J.. J., Osumi-Sutherland, D., Robbins, R.. J., Rocca-Serra, P., Wieczorek, J., Zheng (2014). Meeting report: advancing practical applications of biodiversity ontologies. , 9(1), 17. https://doi.org/10.1186/1944-3277-9-17
Walls, J., Deck, J., Guralnick, R., Baskauf, S., Beaman, R., Blum, S., Bowers, S., Buttigieg, P.. L., Davies, N., Endresen, D., Gandolfo, M.. A., Hanner, R., Janning, A., Krishtalka, L., Matsunaga, A., Midford, P., Morrison, N., Tuama, É.. Ó., Schildhauer, M., Smith, B., Stucky, B.. J., Thomer, A., Wieczorek, J., Whitacre, J., Wooley (2014). Semantics in Support of Biodiversity Knowledge Discovery: An Introduction to the Biological Collections Ontology and Related Ontologies. , 9(3), e89606. https://doi.org/10.1371/journal.pone.0089606
Walls, R., John Deck, Robert Guralnick, Andrea Matsunaga (2014). A Specimen-based View of the World: Using the Biological Collections Ontology to Model Biodiversity Collections. .
Wang, D., Stein, L., Ware (2014). The relationships among GC content, nucleosome occupancy, and exon size. .
Wang, L., Ware, D., Lushbough, C., Merchant, N., Stein (2014). A GWAS platform built on iPlant cyber-infrastructure. .
Wang, P., Niedermayr, C.. V., Liu (2014). Metadata based management and sharing of distributed biomedical data. , 9(1), 42. https://doi.org/10.1504/IJMSO.2014.059126
Weinandt, C., Jackson, L.. M., Gnimpieba, E.. Z., Lushbough (2014). Pheno2GRN: a workflow for phenotype to gene network study and reverse engineering comparison. , 797-804. https://doi.org/10.1145/2649387.2660851
Werner, E.. T., Cornwell, W.. K., Sprent, J.. I., Kattge, J., Kiers (2014). A single evolutionary innovation drives the deep evolution of symbiotic N2-fixation in angiosperms. , 5(1), 4087. https://doi.org/10.1038/ncomms5087
West, N.. M., Li, Q., Ji, L., Eichten, S.. R., Song, J., Vaughn, M.. W., Schmitz, R.. J., Springer (2014). Genomic Distribution of H3K9me2 and DNA Methylation in a Maize Genome. , 9(8), e105267. https://doi.org/10.1371/journal.pone.0105267
Wickett, J., Mirarab, S., Nguyen, N., Warnow, T., Carpenter, E., Matasci, N., Ayyampalayam, S., Barker, M.. S., Burleigh, J.. G., Gitzendanner, M.. A., Ruhfel, B.. R., Wafula, E., Der, J.. P., Graham, S.. W., Mathews, S., Melkonian, M., Soltis, D.. E., Soltis, P.. S., Miles, N.. W., Rothfels, C.. J., Pokorny, L., Shaw, A.. J., DeGironimo, L., Stevenson, D.. W., Surek, B., Villarreal, J.. C., Roure, B., Philippe, H., dePamphilis, C.. W., Chen, T., Deyholos, M.. K., Baucom, R.. S., Kutchan, T.. M., Augustin, M.. M., Wang, J., Zhang, Y., Tian, Z., Yan, Z., Wu, X., Sun, X., Wong, G.. K., Leebens-Mack (2014). Phylotranscriptomic analysis of the origin and early diversification of land plants. , 111(45), E4859-E4868. https://doi.org/10.1073/pnas.1323926111
Williams, D., McKay, S., Khalfan, M., Ghiban, C., Hilgert, U., Lauter, S., Jeong, E., Micklos (2014). DNA Subway–An educational bioinformatics platform for gene and genome analysis: DNA barcoding, and RNA-Seq. .
Wilson, W., Parmentier, B., Jetz (2014). Systematic land cover bias in Collection 5 MODIS cloud mask and derived products — A global overview. , 141, 149-154. https://doi.org/10.1016/j.rse.2013.10.025
Wilson-Sánchez, J.. L., Rubio-Díaz, S., Muñoz-Viana, R., Pérez-Pérez, J.. M., Jover-Gil, S., Ponce, M.. R., Micol (2014). Leaf phenomics: a systematic reverse genetic screen for Arabidopsis leaf mutants. , 79(5), 878-891. https://doi.org/10.1111/tpj.12595
Wofford, A., Finch, K., Bigott, A., Willyard (2014). A Set of Plastid Loci for Use in Multiplex Fragment Length Genotyping for Intraspecific Variation in Pinus (Pinaceae). , 2(5), 1400002. https://doi.org/10.3732/apps.1400002
Xu, D. (2014). Soybean knowledge base (SoyKB): a web resource for integration of soybean translational genomics and molecular breeding. .
Xu, R., Ward, J.. H., Conway, M., Rajasekar, A., Moore (2014). Building an extensible file system via policy-based data management. , 18-Nov. https://doi.org/10.1145/2603941.2603943
Yuvaraja, C., Ranganathan (2014). DESIGN AND DEVELOPMENT OF SUBJECT GATEWAY WITH SPECIAL REFERENCE TO CHEMISTRY. .
Zhao, L.. E., Bartley (2014). Comparative genomic analysis of the R2R3 MYB secondary cell wall regulators of Arabidopsis, poplar, rice, maize, and switchgrass. , 14(1), 135. https://doi.org/10.1186/1471-2229-14-135
2013
Amborella Genome Project, Albert, L., Barbazuk, W.. B., dePamphilis, C.. W., Der, J.. P., Leebens-Mack, J., Ma, H., Palmer, J.. D., Rounsley, S., Sankoff, D., Schuster, S.. C., Soltis, D.. E., Soltis, P.. S., Wessler, S.. R., Wing, R.. A., Albert, V.. A., Ammiraju, J.. S.. S., Barbazuk, W.. B., Chamala, S., Chanderbali, A.. S., dePamphilis, C.. W., Der, J.. P., Determann, R., Leebens-Mack, J., Ma, H., Ralph, P., Rounsley, S., Schuster, S.. C., Soltis, D.. E., Soltis, P.. S., Talag, J., Tomsho, L., Walts, B., Wanke, S., Wing, R.. A., Albert, V.. A., Barbazuk, W.. B., Chamala, S., Chanderbali, A.. S., Chang, T., Determann, R., Lan, T., Soltis, D.. E., Soltis, P.. S., Arikit, S., Axtell, M.. J., Ayyampalayam, S., Barbazuk, W.. B., Burnette, J.. M., Chamala, S., De Paoli, E., dePamphilis, C.. W., Der, J.. P., Estill, J.. C., Farrell, N.. P., Harkess, A., Jiao, Y., Leebens-Mack, J., Liu, K., Mei, W., Meyers, B.. C., Shahid, S., Wafula, E., Walts, B., Wessler, S.. R., Zhai, J., Zhang, X., Albert, V.. A., Carretero-Paulet, L., dePamphilis, C.. W., Der, J.. P., Jiao, Y., Leebens-Mack, J., Lyons, E., Sankoff, D., Tang, H., Wafula, E., Zheng, C., Albert, V.. A., Altman, N.. S., Barbazuk, W.. B., Carretero-Paulet, L., dePamphilis, C.. W., Der, J.. P., Estill, J.. C., Jiao, Y., Leebens-Mack, J., Liu, K., Mei, W., Wafula, E., Altman, N.. S., Arikit, S., Axtell, M.. J., Chamala, S., Chanderbali, A.. S., Chen, F., Chen, J., Chiang, V., De Paoli, E., dePamphilis, C.. W., Der, J.. P., Determann, R., Fogliani, B., Guo, C., Harholt, J., Harkess, A., Job, C., Job, D., Kim, S., Kong, H., Leebens-Mack, J., Li, G., Li, L., Liu, J., Ma, H., Meyers, B.. C., Park, J., Qi, X., Rajjou, L., Burtet-Sarramegna, V., Sederoff, R., Shahid, S., Soltis, D.. E., Soltis, P.. S., Sun, Y., Ulvskov, P., Villegente, M., Xue, J., Yeh, T., Yu, X., Zhai, J., Acosta, J.. J., Albert, V.. A., Barbazuk, W.. B., Bruenn, R.. A., Chamala, S., de Kochko, A., dePamphilis, C.. W., Der, J.. P., Herrera-Estrella, L.. R., Ibarra-Laclette, E., Kirst, M., Leebens-Mack, J., Pissis, S.. P., Poncet, V., Schuster, S.. C., Soltis, D.. E., Soltis, P.. S., Tomsho (2013). The Amborella Genome and the Evolution of Flowering Plants. , 342(6165), 1241089-1241089. https://doi.org/10.1126/science.1241089
Bayzid, T., Warnow (2013). Naive binning improves phylogenomic analyses. , 29(18), 2277-2284. https://doi.org/10.1093/bioinformatics/btt394
Beaulieu, M.. J., Donoghue (2013). FRUIT EVOLUTION AND DIVERSIFICATION IN CAMPANULID ANGIOSPERMS: CAMPANULID FRUIT EVOLUTION. , 67(11), 3132-3144. https://doi.org/10.1111/evo.12180
Beaulieu, M.. J., O'Meara, B.. C., Donoghue (2013). Identifying Hidden Rate Changes in the Evolution of a Binary Morphological Character: The Evolution of Plant Habit in Campanulid Angiosperms. , 62(5), 725-737. https://doi.org/10.1093/sysbio/syt034
Boyle, B.. J., Hopkins, N., Lu, Z., Raygoza Garay, J.. A., Mozzherin, D., Rees, T., Matasci, N., Narro, M.. L., Piel, W.. H., Mckay, S.. J., Lowry, S., Freeland, C., Peet, R.. K., Enquist (2013). The taxonomic name resolution service: an online tool for automated standardization of plant names. , 14(1), 16. https://doi.org/10.1186/1471-2105-14-16
Burleigh, M., Alphonse, K., Alverson, A.. J., Bik, H.. M., Blank, C., Cirranello, A.. L., Cui, H., Daly, M., Dietterich, T.. G., Gasparich, G., Irvine, J., Julius, M., Kaufman, S., Law, E., Liu, J., Moore, L., O'Leary, M.. A., Passarotti, M., Ranade, S., Simmons, N.. B., Stevenson, D.. W., Thacker, R.. W., Theriot, E.. C., Todorovic, S., Velazco, P.. M., Walls, R.. L., Wolfe, J.. M., Yu (2013). Next-generation phenomics for the Tree of Life. . https://doi.org/10.1371/currents.tol.085c713acafc8711b2ff7010a4b03733
Busov, V. (2013). The Promise of Genetics and Beyond. , 19(2), 107-128.
Chamberlain, E., Szöcs (2013). taxize: taxonomic search and retrieval in R. , 2, 191. https://doi.org/10.12688/f1000research.2-191.v2
Chen, D., Najar, C.. F.. B.. A., Zheng, C., Brandts, A., Lyons, E., Tang, H., Carretero-Paulet, L., Albert, V.. A., Sankoff (2013). The dynamics of functional classes of plant genes in rediploidized ancient polyploids. , 14, S19.
Chen, X., Wang (2013). CrusView: A Java-Based Visualization Platform for Comparative Genomics Analyses in Brassicaceae Species. , 163(1), 354-362. https://doi.org/10.1104/pp.113.219444
Cheung, W., Palanivelu, R., Tang, W., Xue, H., Yang (2013). Pollen and Plant Reproduction Biology: Blooming from East to West. , 6(4), 995-997. https://doi.org/10.1093/mp/sst108
Christou, J., Flouri, T., Iliopoulos, C.. S., Janoušek, J., Melichar, B., Pissis, S.. P., Žďárek (2013). Tree template matching in unranked ordered trees. , 20, 51-60. https://doi.org/10.1016/j.jda.2013.02.001
Crochemore, T., Iliopoulos, C.. S., Kociumaka, T., Kubica, M., Langiu, A., Pissis, S.. P., Radoszewski, J., Rytter, W., Walen (2013). Order-Preserving Suffix Trees and Their Algorithmic Applications. .
Crochemore, T., Iliopoulos, C.. S., Kociumaka, T., Kubica, M., Langiu, A., Pissis, S.. P., Radoszewski, J., Rytter, W., Waleń (2013). Order-preserving incomplete suffix trees and order-preserving indexes. , 84–95.
Deck, J., Barker, K., Beaman, R., Buttigieg, P.. L., Dröge, G., Guralnick, R., Miller, C., Tuama, É.. Ó., Murrell, Z., Parr, C., Robbins, B., Schigel, D., Stucky, B., Walls, R., Wieczorek, J., Morrison, N., Wooley (2013). Clarifying Concepts and Terms in Biodiversity Informatics. , 8(2), 352-359. https://doi.org/10.4056/sigs.3907833
Del Rio, C., Villanueva-Rosales, N., Pennington, D., Benedict, K., Stewart, A., Grady (2013). Elseweb meets sadi: Supporting data-to-model integration for biodiversity forecasting. .
Dhondt, D., Wuyts, N., Inzé (2013). Cell to whole-plant phenotyping: the best is yet to come. , 18(8), 428-439. https://doi.org/10.1016/j.tplants.2013.04.008
Eichten, N.. M., Vaughn, M.. W., Hermanson, P.. J., Springer (2013). Variation in DNA Methylation Patterns is More Common among Maize Inbreds than among Tissues. , 6(2), 0. https://doi.org/10.3835/plantgenome2012.06.0009
Eichten, P., others, S.. R., Briskine, R., Song, J., Li, Q., Swanson-Wagner, R., Hermanson, P.. J., Waters, A.. J., Starr, E., West, P.. T., Tiffin (2013). Epigenetic and genetic influences on DNA methylation variation in maize populations. , 25(8), 2783–2797.
Eichten, S.. R. (2013). Identification and characterization of DNA methylation variation within maize. .
Fick, B., Fedorov, D., Roeder, A., Manjunath (2013). Simultaneous cell tracking and image alignment in 3D CLSM imagery of growing Arabidopsis thaliana sepals. , 914-917. https://doi.org/10.1109/ISBI.2013.6556624
Flouri, A., Kobert, K., Pissis, S.. P., Stamatakis (2013). An optimal algorithm for computing all subtree repeats in trees. , 269–282.
Flouri, W., Iliopoulos, C.. S., Kociumaka, T., Pissis, S.. P., Puglisi, S.. J., Smyth, W.. F., Tyczyński (2013). Enhanced string covering. , 506, 102–114.
Fritz, J., Koltes, J.. E., Reecy (2013). Identification of SNPs in Water Buffalo using next generation sequencing data. .
Frousios, S., Iliopoulos, C.. S., Tischler, G., Kossida, S., Pissis, S.. P., Arhondakis (2013). Transcriptome map of mouse isochores in embryonic and neonatal cortex. , 101(2), 120-124. https://doi.org/10.1016/j.ygeno.2012.11.006
Galbraith, S.. A.. G., Qi Cai, Janko Nikolich-Zugich, David (2013). Gene Exression in Inbred and Hybrid Mice, Young and Old. .
Gessler, J., Bulka, B., Sirin, E., Vasquez-Gross, H., Yu, J., Wegrzyn (2013). iPlant SSWAP (Simple Semantic Web Architecture and Protocol) enables semantic pipelines for biodiversity. , 101.
Gessler, T., Joslyn, C., Verspoor, K., Critchlow (2013). A posteriori ontology engineering for data-driven science. .
Gnimpieba, C.. M., Anderson, B.. S., Chango, A., Lushbough (2013). RESTful API in life science research systems and data integration challenges: linking metabolic pathway, metabolic network, gene and publication.. , 10, 1196–1199.
Gnimpieba, C.. M., Jennewein, D., Fuhrman, L., Lushbough (2013). Multidisciplinarity in Knowledge Transmision Management System (KTMS) evaluation. , 238.
Gnimpieba, C.. M., Jennewein, D., Fuhrman, L., Lushbough (2013). Bioinformatics Knowledge Transmission (training, learning, and teaching): overview and flexible comparison of computer based training approaches. .
Goff, Q., Zhang (2013). Heterosis in elite hybrid rice: speculation on the genetic and biochemical mechanisms. , 16(2), 221-227. https://doi.org/10.1016/j.pbi.2013.03.009
Gorton, K., Liu, Y., Lansing, C., Elsethagen, T., Kleese van Dam (2013). Build less code deliver more science: an experience report on composing scientific environments using component-based and commodity software platforms. , 159. https://doi.org/10.1145/2465449.2465452
Gregory, E.. L., Matthew Bomhoff, Fan Li, Brian D. (2013). EPIC CoGE- a unified browser for Epigenetics. .
Harris, M., Bellino (2013). DNA Barcoding from NYC to Belize. , 342(6165), 1462-1463. https://doi.org/10.1126/science.1230006
Hofberger, M., Lyons, E., Edger, P.. P., Chris Pires, J., Eric Schranz (2013). Whole Genome and Tandem Duplicate Retention Facilitated Glucosinolate Pathway Diversification in the Mustard Family. , 5(11), 2155-2173. https://doi.org/10.1093/gbe/evt162
Ibarra-Laclette, L., Lyons, E., Hernández-Guzmán, G., Pérez-Torres, C.. A., Carretero-Paulet, L., Chang, T., Lan, T., Welch, A.. J., Juárez, M.. J.. A., Simpson, J., Fernández-Cortés, A., Arteaga-Vázquez, M., Góngora-Castillo, E., Acevedo-Hernández, G., Schuster, S.. C., Himmelbauer, H., Minoche, A.. E., Xu, S., Lynch, M., Oropeza-Aburto, A., Cervantes-Pérez, S.. A., de Jesús Ortega-Estrada, M., Cervantes-Luevano, J.. I., Michael, T.. P., Mockler, T., Bryant, D., Herrera-Estrella, A., Albert, V.. A., Herrera-Estrella (2013). Architecture and evolution of a minute plant genome. , 498(7452), 94-98. https://doi.org/10.1038/nature12132
Izquierdo-Carrasco, A., Alachiotis, N., Berger, S., Flouri, T., Pissis, S.. P., Stamatakis (2013). A generic vectorization scheme and a gpu kernel for the phylogenetic likelihood library. , 530–538.
Jordan, S., Esteva, M., Walling, D., Urban, T., Kulasekaran (2013). Responses to Data Management Requirements at the National Scale. , 64.
Joshi, D., Fitzpatrick, M.. R., Chen, S., Liu, Y., Zhang, H., Endacott, R.. Z., Gaudiello, E.. C., Stacey, G., Nguyen, H.. T., Xu (2013). Soybean knowledge base (SoyKB): Bridging the gap between soybean translational genomics and breeding. , 42-44. https://doi.org/10.1109/BIBM.2013.6732755
Khoury, P.. C., Greene, S., Wiersema, J., Maxted, N., Jarvis, A., Struik (2013). An Inventory of Crop Wild Relatives of the United States. , 53(4), 1496. https://doi.org/10.2135/cropsci2012.10.0585
Kim, J. (2013). Data sharing and its implications for academic libraries. , 114(12-Nov), 494–506.
Kluyver, C.. P., Osborne (2013). Taxonome: a software package for linking biological species data. , 3(5), 1262-1265. https://doi.org/10.1002/ece3.529
Koehbach, C.. W., Attah, A.. F., Berger, A., Hellinger, R., Kutchan, T.. M., Carpenter, E.. J., Rolf, M., Sonibare, M.. A., Moody, J.. O., Wong, G.. K., Dessein, S., Greger, H., Gruber (2013). Cyclotide discovery in Gentianales revisited-identification and characterization of cyclic cystine-knot peptides and their phylogenetic distribution in Rubiaceae plants: Cyclotide Discovery in Gentianales Revisited. , 100(5), 438-452. https://doi.org/10.1002/bip.22328
Koenig, J.. N., Jimenez-Gomez, J.. M., Kimura, S., Fulop, D., Chitwood, D.. H., Headland, L.. R., Kumar, R., Covington, M.. F., Devisetty, U.. K., Tat, A.. V., Tohge, T., Bolger, A., Schneeberger, K., Ossowski, S., Lanz, C., Xiong, G., Taylor-Teeples, M., Brady, S.. M., Pauly, M., Weigel, D., Usadel, B., Fernie, A.. R., Peng, J., Sinha, N.. R., Maloof (2013). Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato. , 110(28), E2655-E2662. https://doi.org/10.1073/pnas.1309606110
Koesterke, J.. M., Milfeld, K., Vaughn, M.. W., Stanzione, D., Koltes, J.. E., Weeks, N.. T., Reecy (2013). Optimizing the PCIT algorithm on stampede's Xeon and Xeon Phi processors for faster discovery of biological networks. , 1. https://doi.org/10.1145/2484762.2484794
Kültz, A.. E., Clayton, D.. F., Robinson, G.. E., Albertson, C., Carey, H.. V., Cummings, M.. E., Dewar, K., Edwards, S.. V., Hofmann, H.. A., Gross, L.. J., Kingsolver, J.. G., Meaney, M.. J., Schlinger, B.. A., Shingleton, A.. W., Sokolowski, M.. B., Somero, G.. N., Stanzione, D.. C., Todgham (2013). New Frontiers for Organismal Biology. , 63(6), 464-471. https://doi.org/10.1525/bio.2013.63.6.8
Lee, R.. K., Peet (2013). VegBank: a permanent online repository for international plot and relevé data. , 66.
Lehan, B.. A., Murphy, J.. R., Thorburn, L.. P., Bradley (2013). Accidental introductions are an important source of invasive plants in the continental United States. , 100(7), 1287-1293. https://doi.org/10.3732/ajb.1300061
Lisch, D. (2013). How important are transposons for plant evolution?. , 14(1), 49-61. https://doi.org/10.1038/nrg3374
Liseron-Monfils, M.. N., Lewis, T., Ashlock, D., McNicholas, P.. D., Fauteux, F., Strömvik, M., Raizada (2013). Promzea: a pipeline for discovery of co-regulatory motifs in maize and other plant species and its application to the anthocyanin and phlobaphene biosynthetic pathways and the Maize Development Atlas. , 13(1), 42. https://doi.org/10.1186/1471-2229-13-42
López, J., San-Juan (2013). an e-Science project in Astrodynamics and Celestial Mechanics fields. , 184(5), 1381-1386. https://doi.org/10.1016/j.cpc.2013.01.003
Matasci, S., McKay (2013). Phylogenetic Analysis with the iPlant Discovery Environment. , 42(1), 6.13.1-6.13.13. https://doi.org/10.1002/0471250953.bi0613s42
McCarthy, E., Lyons (2013). From data to function: Functional modeling of poultry genomics data. , 92(9), 2519-2529. https://doi.org/10.3382/ps.2012-02808
McKay, C., Skidmore, E.. J., LaRose, C.. J., Mercer, A.. W., Noutsos (2013). Cloud Computing with iPlant Atmosphere: Cloud Computing with iPlant Atmosphere. , 9.15.1-9.15.20.
Micklos, D.. A., Hilgert, U., Nash, B. (2013). Genome science: a practical and conceptual introduction to molecular genetic analysis in eukaryotes. .
Miller, S., Matasci, N., Schwaninger, H., Aradhya, M.. K., Prins, B., Zhong, G., Simon, C., Buckler, E.. S., Myles (2013). Vitis Phylogenomics: Hybridization Intensities from a SNP Array Outperform Genotype Calls. , 8(11), e78680. https://doi.org/10.1371/journal.pone.0078680
Miller, W., Schwartz, T., Pfeiffer (2013). Embedding CIPRES science gateway capabilities in phylogenetics software environments. , 1. https://doi.org/10.1145/2484762.2484806
Ming, J., VanBuren, R., Liu, Y., Yang, M., Han, Y., Li, L., Zhang, Q., Kim, M., Schatz, M.. C., Campbell, M., Li, J., Bowers, J.. E., Tang, H., Lyons, E., Ferguson, A.. A., Narzisi, G., Nelson, D.. R., Blaby-Haas, C.. E., Gschwend, A.. R., Jiao, Y., Der, J.. P., Zeng, F., Han, J., Min, X., Hudson, K.. A., Singh, R., Grennan, A.. K., Karpowicz, S.. J., Watling, J.. R., Ito, K., Robinson, S.. A., Hudson, M.. E., Yu, Q., Mockler, T.. C., Carroll, A., Zheng, Y., Sunkar, R., Jia, R., Chen, N., Arro, J., Wai, C., Wafula, E., Spence, A., Han, Y., Xu, L., Zhang, J., Peery, R., Haus, M.. J., Xiong, W., Walsh, J.. A., Wu, J., Wang, M., Zhu, Y.. J., Paull, R.. E., Britt, A.. B., Du, C., Downie, S.. R., Schuler, M.. A., Michael, T.. P., Long, S.. P., Ort, D.. R., William Schopf, J., Gang, D.. R., Jiang, N., Yandell, M., dePamphilis, C.. W., Merchant, S.. S., Paterson, A.. H., Buchanan, B.. B., Li, S., Shen-Miller (2013). Genome of the long-living sacred lotus (Nelumbo nucifera Gaertn.). , 14(5), R41. https://doi.org/10.1186/gb-2013-14-5-r41
Mohan, G.. P., Hacker, T., Rodgers (2013). Developing a high-volume batch submission system for earthquake engineering. , 1. https://doi.org/10.1145/2484762.2484784
Moore, R.. W. (2013). Extensible Generic Data Management Software. .
Moreau, S., Westlake, T., Zampogna, G., Popescu, G., Tian, M., Noutsos, C., Popescu (2013). The Arabidopsis oligopeptidases TOP1 and TOP2 are salicylic acid targets that modulate SA-mediated signaling and the immune response. , 76(4), 603-614. https://doi.org/10.1111/tpj.12320
Morueta-Holme, J., Enquist, B.. J., McGill, B.. J., Boyle, B., Jørgensen, P.. M., Ott, J.. E., Peet, R.. K., Šímová, I., Sloat, L.. L., Thiers, B., Violle, C., Wiser, S.. K., Dolins, S., Donoghue, J.. C., Kraft, N.. J.. B., Regetz, J., Schildhauer, M., Spencer, N., Svenning (2013). Habitat area and climate stability determine geographical variation in plant species range sizes. , 16(12), 1446-1454. https://doi.org/10.1111/ele.12184
Narjala, L. (2013). Color based classification of circular markers for the identification of experimental units. .
Oaks, J.. R. (2013). Islands and Integrals: Processes of Diversification in an Island Archipelago and Bayesian Methods of Comparative Phylogeographical Model Choice. .
Oliver, S.. J., Lenards, A.. J., Barthelson, R.. A., Merchant, N., McKay (2013). Using the iPlant Collaborative Discovery Environment. , 42(1), 1.22.1-1.22.26. https://doi.org/10.1002/0471250953.bi0122s42
Predoehl, K., Morris, S., Barnard (2013). A statistical model for recreational trails in aerial images. , 337–344.
Ragupathy, S., You, F.. M., Cloutier (2013). Arguments for standardizing transposable element annotation in plant genomes. , 18(7), 367-376. https://doi.org/10.1016/j.tplants.2013.03.005
Rajasekar, J., Kum, H., Crosas, M., Crabtree, J., Sankaran, S., Lander, H., Carsey, T., King, G., Zhan (2013). The databridge. , 2(1), 1–14.
Rajasekar, S., Carsey, T., Crabtree, J., Crosas, M., King, G., Kum, H., Lander, H., Sankaran (2013). Design of the DataBridge: A System for Sociometric Analysis of Long tail Science Data. .
Ramamoorthy, A.. M., Dhingra, S., Kincaid, A., Shantappa, S., Feng, X., Calvo (2013). The Putative C2H2 Transcription Factor MtfA Is a Novel Regulator of Secondary Metabolism and Morphogenesis in Aspergillus nidulans. , 8(9), e74122. https://doi.org/10.1371/journal.pone.0074122
Rodrigo, B., Alberts, S., Cranston, K., Kingsolver, J., Lapp, H., McClain, C., Smith, R., Vision, T., Weintraub, J., Wiegmann (2013). Science Incubators: Synthesis Centers and Their Role in the Research Ecosystem. , 11(1), e1001468. https://doi.org/10.1371/journal.pbio.1001468
Rothfels, K.. M., Larsson, A., Li, F., Sigel, E.. M., Huiet, L., Burge, D.. O., Ruhsam, M., Graham, S.. W., Stevenson, D.. W., Wong, G.. K., Korall, P., Pryer (2013). Transcriptome-Mining for Single-Copy Nuclear Markers in Ferns. , 8(10), e76957. https://doi.org/10.1371/journal.pone.0076957
Service, R.. F. (2013). Biology's Dry Future. , 342(6155), 186-189. https://doi.org/10.1126/science.342.6155.186
Soderlund, D.. R., Nelson, W., Willer, M., Gang (2013). TCW: Transcriptome Computational Workbench. , 8(7), e69401. https://doi.org/10.1371/journal.pone.0069401
Soltis, D.. E., Soltis (2013). Angiosperm Phylogeny: A Framework for Studies of Genome Evolution. , 11-Jan.
Soltis, W.. B., Gitzendanner, M.. A., Stull, G., Chester, M., Chanderbali, A., Chamala, S., Jordon-Thaden, I., Soltis, P.. S., Schnable, P.. S., Barbazuk (2013). The potential of genomics in plant systematics. , 62(5), 886–898.
Spalding, N.. M., Nathan Miller, B. S. Manjunath, Kris Kvilekval, Edgar (2013). Enabling Cloud and GRid Powered Image Phenotyping. .
Stanzione, D.. C. (2013). Keynote: The iPlant Collaborative: A Life Sciences Cyberinfrastructure for the 21st Century. .
Stein, J., Jerry Lu, Christos Noutsos, Liya Wang, Roger Barthelson, Fusheng Wei, Naim Matasci, Eric Lyons, Nicole Hopkins, Andrew Lenards, Sheldon McKay, Matt Vaughn, Dan Stanzione, Stephen A. Goff, Doreen Ware (2013). Biological Computing Using the iPlant Discovery Environment. .
Stoltzfus, G., Lapp, H., Matasci, N., Deus, H., Sidlauskas, B., Zmasek, C.. M., Vaidya, G., Pontelli, E., Cranston, K., Vos, R., Webb, C.. O., Harmon, L.. J., Pirrung, M., O'Meara, B., Pennell, M.. W., Mirarab, S., Rosenberg, M.. S., Balhoff, J.. P., Bik, H.. M., Heath, T.. A., Midford, P.. E., Brown, J.. W., McTavish, E.. J., Sukumaran, J., Westneat, M., Alfaro, M.. E., Steele, A., Jordan (2013). Phylotastic! Making tree-of-life knowledge accessible, reusable and convenient. , 14(1), 158. https://doi.org/10.1186/1471-2105-14-158
Stull, M.. A., Moore, M.. J., Mandala, V.. S., Douglas, N.. A., Kates, H., Qi, X., Brockington, S.. F., Soltis, P.. S., Soltis, D.. E., Gitzendanner (2013). A Targeted Enrichment Strategy for Massively Parallel Sequencing of Angiosperm Plastid Genomes. , 1(2), 1200497. https://doi.org/10.3732/apps.1200497
Swenson, R., Simmhan, Y., Prasanna, V., Parashar, M., Riedy, J., Bader, D., Vuduc (2013). Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. .
Tan, S., Blake, M.. B., Saleh, I., Dustdar (2013). Social-Network-Sourced Big Data Analytics. , 17(5), 62-69. https://doi.org/10.1109/MIC.2013.100
Thibault, T.. E., Facelli, J.. C., Cheatham (2013). iBIOMES: Managing and Sharing Biomolecular Simulation Data in a Distributed Environment. , 53(3), 726-736. https://doi.org/10.1021/ci300524j
Vasquez-Gross, J.. L., Yu, J.. J., Figueroa, B., Gessler, D.. D.. G., Neale, D.. B., Wegrzyn (2013). CartograTree: connecting tree genomes, phenotypes and environment. , 13(3), 528-537. https://doi.org/10.1111/1755-0998.12067
Vasquez-Gross, J., Figueroa, B., Yu, J., Gessler, D., Neale, D., Wergrzyn (2013). CartograTree: Connection Forest Tree Genomes, Phenotypes, and Environment. .
Wang, L.. D., Stein (2013). Modeling the evolution dynamics of exon-intron structure with a general random fragmentation process. , 13(1), 57. https://doi.org/10.1186/1471-2148-13-57
Waters, N.. M., Bilinski, P., Eichten, S.. R., Vaughn, M.. W., Ross-Ibarra, J., Gehring, M., Springer (2013). Comprehensive analysis of imprinted genes in maize reveals allelic variation for imprinting and limited conservation with other species. , 110(48), 19639-19644. https://doi.org/10.1073/pnas.1309182110
Waters, N.. M., Bilinski, P., Eichten, S.. R., Vaughn, M.. W., Ross-Ibarra, J., Gehring, M., Springer (2013). Comprehensive analysis of imprinted genes in maize reveals limited conservation with other species and allelic variation for imprinting. .
Wollbrett, M., Larmande, P., de Lamotte, F., Ruiz (2013). Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases. , 14(1), 126. https://doi.org/10.1186/1471-2105-14-126
ter Steege, M.. R., Pitman, N.. C.. A., Sabatier, D., Baraloto, C., Salomao, R.. P., Guevara, J.. E., Phillips, O.. L., Castilho, C.. V., Magnusson, W.. E., Molino, J., Monteagudo, A., Nunez Vargas, P., Montero, J.. C., Feldpausch, T.. R., Coronado, E.. N.. H., Killeen, T.. J., Mostacedo, B., Vasquez, R., Assis, R.. L., Terborgh, J., Wittmann, F., Andrade, A., Laurance, W.. F., Laurance, S.. G.. W., Marimon, B.. S., Marimon, B., Guimaraes Vieira, I.. C., Amaral, I.. L., Brienen, R., Castellanos, H., Cardenas Lopez, D., Duivenvoorden, J.. F., Mogollon, H.. F., Matos, F.. D.. d.. A., Davila, N., Garcia-Villacorta, R., Stevenson Diaz, P.. R., Costa, F., Emilio, T., Levis, C., Schietti, J., Souza, P., Alonso, A., Dallmeier, F., Montoya, A.. J.. D., Fernandez Piedade, M.. T., Araujo-Murakami, A., Arroyo, L., Gribel, R., Fine, P.. V.. A., Peres, C.. A., Toledo, M., Aymard C., G.. A., Baker, T.. R., Ceron, C., Engel, J., Henkel, T.. W., Maas, P., Petronelli, P., Stropp, J., Zartman, C.. E., Daly, D., Neill, D., Silveira, M., Paredes, M.. R., Chave, J., Lima Filho, D.. d.. A., Jorgensen, P.. M., Fuentes, A., Schongart, J., Cornejo Valverde, F., Di Fiore, A., Jimenez, E.. M., Penuela Mora, M.. C., Phillips, J.. F., Rivas, G., van Andel, T.. R., von Hildebrand, P., Hoffman, B., Zent, E.. L., Malhi, Y., Prieto, A., Rudas, A., Ruschell, A.. R., Silva, N., Vos, V., Zent, S., Oliveira, A.. A., Schutz, A.. C., Gonzales, T., Trindade Nascimento, M., Ramirez-Angulo, H., Sierra, R., Tirado, M., Umana Medina, M.. N., van der Heijden, G., Vela, C.. I.. A., Vilanova Torre, E., Vriesendorp, C., Wang, O., Young, K.. R., Baider, C., Balslev, H., Ferreira, C., Mesones, I., Torres-Lezama, A., Urrego Giraldo, L.. E., Zagt, R., Alexiades, M.. N., Hernandez, L., Huamantupa-Chuquimaco, I., Milliken, W., Palacios Cuenca, W., Pauletto, D., Valderrama Sandoval, E., Valenzuela Gamarra, L., Dexter, K.. G., Feeley, K., Lopez-Gonzalez, G., Silman (2013). Hyperdominance in the Amazonian Tree Flora. , 342(6156), 1243092-1243092. https://doi.org/10.1126/science.1243092
von Mogel, K.. H. (2013). Taking the into the Field. , 58(3), 4. https://doi.org/10.2134/csa2013-58-3-1
2012
Alakonya, N., Kumar, R., Koenig, D., Kimura, S., Townsley, B., Runo, S., Garces, H.. M., Kang, J., Yanez, A., David-Schwartz, R., Machuka, J., Sinha (2012). Interspecific RNA Interference of SHOOT MERISTEMLESS-Like Disrupts Cuscuta pentagona Plant Parasitism. , 24(7), 3153-3166. https://doi.org/10.1105/tpc.112.099994
Beaulieu, J.. M., Ree, R.. H., Cavender-Bares, J., Weiblen, G.. D., Donoghue, M.. J. (2012). Synthesizing phylogenetic knowledge for ecological research. Ecology, 93(sp8), S4-S13. https://doi.org/10.1890/11-0638.1
Beck, C.. F., Ballesteros-Mejia, L., Buchmann, C.. M., Dengler, J., Fritz, S.. A., Gruber, B., Hof, C., Jansen, F., Knapp, S., Kreft, H., Schneider, A., Winter, M., Dormann (2012). What's on the horizon for macroecology?. , 35(8), 673-683. https://doi.org/10.1111/j.1600-0587.2012.07364.x
Blonder, B.. J., Buzzard, V., Simova, I., Sloat, L., Boyle, B., Lipson, R., Aguilar-Beaucage, B., Andrade, A., Barber, B., Barnes, C., Bushey, D., Cartagena, P., Chaney, M., Contreras, K., Cox, M., Cueto, M., Curtis, C., Fisher, M., Furst, L., Gallegos, J., Hall, R., Hauschild, A., Jerez, A., Jones, N., Klucas, A., Kono, A., Lamb, M., Matthai, J.. D.. R., McIntyre, C., McKenna, J., Mosier, N., Navabi, M., Ochoa, A., Pace, L., Plassmann, R., Richter, R., Russakoff, B., Aubyn, H.. S., Stagg, R., Sterner, M., Stewart, E., Thompson, T.. T., Thornton, J., Trujillo, P.. J., Volpe, T.. J., Enquist (2012). The leaf-area shrinkage effect can bias paleoclimate and ecology research. , 99(11), 1756-1763. https://doi.org/10.3732/ajb.1200062
Christou, M., Crochemore, M., Flouri, T., Iliopoulos, C.. S., Janoušek, J., Melichar, B., Pissis, S.. P. (2012). Computing all subtree repeats in ordered trees. Information Processing Letters, 112(24), 958-962. https://doi.org/10.1016/j.ipl.2012.09.001
Claros, N., Bautista, R., Guerrero-Fernández, D., Benzerki, H., Seoane, P., Fernández-Pozo (2012). Why Assembling Plant Genome Sequences Is So Challenging. , 1(2), 439-459. https://doi.org/10.3390/biology1020439
Cole, B.. J., Chory, J. (2012). Image-Based Analysis of Light-Grown Seedling Hypocotyls in Arabidopsis. High-Throughput Phenotyping in Plants, 918, 1-7.
Council, N.. R., others (2012). Implementing the Research Strategy and Evaluating Progress. .
Das, J.. S., Bucksch, A., Weitz (2012). Infrastructure for managing and analyzing biological networks derived from collections of plant images. .
Dooley, R., Vaughn, M., Terry, S., Stanzione, D., Skidmore, E., Merchant, N. (2012). Your data, your way the iPlant Foundation API Data Services. Proceedings of The Third International Workshop on Data Intensive Computing in the Clouds.
Dooley, R., Vaughn, M., Stanzione, D., Terry, S., Skidmore, E. (2012). Software-as-a-service: the iPlant foundation API. 5th IEEE Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS).
Dragut, E.. C., Ouzzani, M., Madkour, A., Mohamed, N., Baker, P., Salt, D.. E. (2012). Lonomics Atlas: a tool to explore interconnected ionomic, genomic and environmental data. Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12, 2680. https://doi.org/10.1145/2396761.2398724
D’Hont, P., Denoeud, F., Aury, J., Baurens, F., Carreel, F., Garsmeur, O., Noel, B., Bocs, S., Droc, G., Rouard, M., Da Silva, C., Jabbari, K., Cardi, C., Poulain, J., Souquet, M., Labadie, K., Jourda, C., Lengellé, J., Rodier-Goud, M., Alberti, A., Bernard, M., Correa, M., Ayyampalayam, S., Mckain, M.. R., Leebens-Mack, J., Burgess, D., Freeling, M., Mbéguié-A-Mbéguié, D., Chabannes, M., Wicker, T., Panaud, O., Barbosa, J., Hribova, E., Heslop-Harrison, P., Habas, R., Rivallan, R., Francois, P., Poiron, C., Kilian, A., Burthia, D., Jenny, C., Bakry, F., Brown, S., Guignon, V., Kema, G., Dita, M., Waalwijk, C., Joseph, S., Dievart, A., Jaillon, O., Leclercq, J., Argout, X., Lyons, E., Almeida, A., Jeridi, M., Dolezel, J., Roux, N., Risterucci, A., Weissenbach, J., Ruiz, M., Glaszmann, J., Quétier, F., Yahiaoui, N., Wincker (2012). The banana (Musa acuminata) genome and the evolution of monocotyledonous plants. , 488(7410), 213-217. https://doi.org/10.1038/nature11241
Egan, D.. M., Schlueter, J., Spooner (2012). Applications of next-generation sequencing in plant biology. , 99(2), 175-185. https://doi.org/10.3732/ajb.1200020
Eichten, N.. M., Ellis, N.. A., Makarevitch, I., Yeh, C., Gent, J.. I., Guo, L., McGinnis, K.. M., Zhang, X., Schnable, P.. S., Vaughn, M.. W., Dawe, R.. K., Springer (2012). Spreading of Heterochromatin Is Limited to Specific Families of Maize Retrotransposons. , 8(12), e1003127. https://doi.org/10.1371/journal.pgen.1003127
Eichten, S.. R. (2012). Contribution of Epigenetic Variation to Expression Changes Among Tissues and Genotypes. , W417.
Flouri, T., Iliopoulos, C.. S., Kociumaka, T., Pissis, S.. P., Puglisi, S.. J., Smyth, W.. F., Tyczynski, W. (2012). New and Efficient Approaches to the Quasiperiodic Characterisation of a String.. Stringology, 75–88.
Flouri, T., Iliopoulos, C.. S., Park, K., Pissis, S.. P. (2012). GapMis-OMP: Pairwise Short-Read Alignment on Multi-core Architectures. Artificial Intelligence Applications and Innovations, 382, 593-601.
Fox, D., Gannon (2012). Using Clouds for Technical Computing.. , 81–102.
Geser, G., Jaques, Y., Manouselis, N., Protonotarios, V., Keizer, J., Sicilia, M. (2012). Building blocks for a data infrastructure and services to empower agricultural research communities. AGRIS on-line Papers in Economics and Informatics, 4(665-2016-44926), 11–18.
Gessler, D.. D., Bulka, B., Sirin, E., Kang, Y., Klinov, P., Vasquez-Gross, H., Yu, J., Wegrzyn, J. (2012). iPlant Semantic Web Platform uses SSWAP (Simple Semantic Web Architecture and Protocol) to enable Semantic Pipelines across Distributed Web and High Performance Computing Resources. .
Huang, B.. A., Schaal (2012). Association between the geographic distribution during the last glacial maximum of Asian wild rice, Oryza rufipogon (Poaceae), and its current genetic variation. , 99(11), 1866-1874. https://doi.org/10.3732/ajb.1200348
Jiao, C.. W., Leebens-Mack, J., Ayyampalayam, S., Bowers, J.. E., McKain, M.. R., McNeal, J., Rolf, M., Ruzicka, D.. R., Wafula, E., Wickett, N.. J., Wu, X., Zhang, Y., Wang, J., Zhang, Y., Carpenter, E.. J., Deyholos, M.. K., Kutchan, T.. M., Chanderbali, A.. S., Soltis, P.. S., Stevenson, D.. W., McCombie, R., Pires, J., Wong, G., Soltis, D.. E., dePamphilis (2012). A genome triplication associated with early diversification of the core eudicots. , 13(1), R3. https://doi.org/10.1186/gb-2012-13-1-r3
Johnson, G.. K., Carpenter, E.. J., Tian, Z., Bruskiewich, R., Burris, J.. N., Carrigan, C.. T., Chase, M.. W., Clarke, N.. D., Covshoff, S., dePamphilis, C.. W., Edger, P.. P., Goh, F., Graham, S., Greiner, S., Hibberd, J.. M., Jordon-Thaden, I., Kutchan, T.. M., Leebens-Mack, J., Melkonian, M., Miles, N., Myburg, H., Patterson, J., Pires, J.. C., Ralph, P., Rolf, M., Sage, R.. F., Soltis, D., Soltis, P., Stevenson, D., Stewart, C.. N., Surek, B., Thomsen, C.. J.. M., Villarreal, J.. C., Wu, X., Zhang, Y., Deyholos, M.. K., Wong (2012). Evaluating Methods for Isolating Total RNA and Predicting the Success of Sequencing Phylogenetically Diverse Plant Transcriptomes. , 7(11), e50226. https://doi.org/10.1371/journal.pone.0050226
Kakumanu, A. (2012). Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing. .
Kakumanu, A., Ambavaram, M.. M., Klumas, C., Krishnan, A., Batlang, U., Myers, E., Grene, R., Pereira (2012). Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissue Revealed by RNA-Seq. , 160(2), 846-867. https://doi.org/10.1104/pp.112.200444
Kharitonova, Y., Tung, Q., Danehy, A., Efrat, A., Barnard, K. (2012). Client-side backprojection of presentation slides into educational video. Proceedings of the 20th ACM international conference on Multimedia - MM '12, 1005. https://doi.org/10.1145/2393347.2396368
Klinov, T., Del Vescovo, C., Schneider (2012). Incrementally Updateable and Persistent Decomposition of OWL Ontologies. , 849, 7.
Kolker, V., Stewart, E., Ozdemir (2012). Opportunities and Challenges for the Life Sciences Community. , 16(3), 138-147. https://doi.org/10.1089/omi.2011.0152
Kvilekval, K., Fedorov, D., Gaur, U., Goff, S., Merchant, N., Manjunath, B., Singh, A.. K. (2012). Bisque: Advances in Bioimage Databases.. IEEE Data Eng. Bull., 35(3), 56–64.
Lyons, J.. C., Tang, H., Schnable (2012). Whole Genome Comparisons with Oryza and Brachypodium using CoGe and SynMap. , W267.
McDonald, S., Hart (2012). Latest Technology in Irrigation Management in Nursery Production\copyright. , 89–93.
McKay, M., Lyons, E., Tang, H., Miller, N., Eichten, S.. R., Goff, S.. A., Stanzione, D., Vaughn (2012). The iPlant Collaborative. , W416.
McKay, S. (2012). How to Use the iPlant's Discovery Environment for Your Research. , W420.
Miller, D.. V., Hocevar, J., Stone, R.. P., Fedorov (2012). Structure-Forming Corals and Sponges and Their Use as Fish Habitat in Bering Sea Submarine Canyons. , 7(3), e33885. https://doi.org/10.1371/journal.pone.0033885
Miller, M.. A., Pfeiffer, W., Schwartz, T. (2012). The CIPRES science gateway: enabling high-impact science for phylogenetics researchers with limited resources. Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment on Bridging from the eXtreme to the campus and beyond - XSEDE '12, 1. https://doi.org/10.1145/2335755.2335836
Miller, N. (2012). Enabling Phenotypic Image Analysis Using Shared Cyberinfrastructure. , W418.
O'Meara, B.. C. (2012). Evolutionary Inferences from Phylogenies: A Review of Methods. , 43(1), 267-285. https://doi.org/10.1146/annurev-ecolsys-110411-160331
Parr, R.. D., Guralnick, R., Cellinese, N., Page (2012). Evolutionary informatics: unifying knowledge about the diversity of life. , 27(2), 94-103. https://doi.org/10.1016/j.tree.2011.11.001
Ram, J., Liu (2012). A Semantic Foundation for Provenance Management. , 1(1), 17-Nov. https://doi.org/10.1007/s13740-012-0002-0
Reddy, A., Rogers, M.. F., Richardson, D.. N., Hamilton, M., Ben-Hur (2012). Deciphering the Plant Splicing Code: Experimental and Computational Approaches for Predicting Alternative Splicing and Splicing Regulatory Elements. , 3. https://doi.org/10.3389/fpls.2012.00018
Reinders, A. (2012). Evolution of plant sucrose uptake transporters. , 3. https://doi.org/10.3389/fpls.2012.00022
Schatz, W.. R., Witkowski, J., McCombie (2012). Current challenges in de novo plant genome sequencing and assembly. , 13(4), 243. https://doi.org/10.1186/gb-2012-13-4-243
Schnable, E., Freeling, M., Lyons (2012). Genome-Wide Analysis of Syntenic Gene Deletion in the Grasses. , 4(3), 265-277. https://doi.org/10.1093/gbe/evs009
Schneider, T. (2012). Ontology for Big Systems: The Ontology Summit 2012 Communiqué. , 3. https://doi.org/1570-5838
Simmerman, S., Wang, J., Osborne, J., Shook, K., Huang, J., Godsoe, W., Simons, T. (2012). Exploring similarities among many species distributions. Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment on Bridging from the eXtreme to the campus and beyond - XSEDE '12, 1. https://doi.org/10.1145/2335755.2335835
Smith, B.. C., O’Meara (2012). treePL: divergence time estimation using penalized likelihood for large phylogenies. , 28(20), 2689-2690. https://doi.org/10.1093/bioinformatics/bts492
Stamatakis, F., Aberer, A.. J., Goll, C., Smith, S.. A., Berger, S.. A., Izquierdo-Carrasco (2012). RAxML-Light: a tool for computing terabyte phylogenies. , 28(15), 2064-2066. https://doi.org/10.1093/bioinformatics/bts309
Straub, S.. C.. K., Parks, M., Weitemier, K., Fishbein, M., Cronn, R.. C., Liston, A. (2012). Navigating the tip of the genomic iceberg: Next-generation sequencing for plant systematics. American Journal of Botany, 99(2), 349-364. https://doi.org/10.3732/ajb.1100335
Strickler, S.. R., Bombarely, A., Mueller, L.. A. (2012). Designing a transcriptome next-generation sequencing project for a nonmodel plant species 1. American Journal of Botany, 99(2), 257-266. https://doi.org/10.3732/ajb.1100292
Tang, H., Lyons, E. (2012). The Evolution of Genome Structure. Int J Evol 1, 1, 2.
Tang, H., Lyons, E. (2012). Unleashing the Genome of Brassica Rapa. , 3. https://doi.org/10.3389/fpls.2012.00172
Tang, K., Krampis (2012). Leverage iPlant Computing Resources for Collaborative Genomic Research. , W419.
White, J.. W., Andrade-Sanchez, P., Gore, M.. A., Bronson, K.. F., Coffelt, T.. A., Conley, M.. M., Feldmann, K.. A., French, A.. N., Heun, J.. T., Hunsaker, D.. J., Jenks, M.. A., Kimball, B.. A., Roth, R.. L., Strand, R.. J., Thorp, K.. R., Wall, G.. W., Wang, G. (2012). Field-based phenomics for plant genetics research. Field Crops Research, 133, 101-112. https://doi.org/10.1016/j.fcr.2012.04.003
Woodward, N.. J., Xu, W., Norsworthy, K. (2012). On automatically tagging web documents from examples. Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12, 1111. https://doi.org/10.1145/2348283.2348494
Zhou, R., Franck, C., Yang, K., Pilot, G., Heath, L.. S., Grene (2012). Mining for Meaning: Visualization Approaches to Deciphering Arabidopsis Stress Responses in Roots and Shoots. , 16(4), 208-228. https://doi.org/10.1089/omi.2011.0111
2011
Banks, I.. V., Nishiyama, T., Hasebe, M., Bowman, J.. L., Gribskov, M., dePamphilis, C., Albert, V.. A., Aono, N., Aoyama, T., Ambrose, B.. A., Ashton, N.. W., Axtell, M.. J., Barker, E., Barker, M.. S., Bennetzen, J.. L., Bonawitz, N.. D., Chapple, C., Cheng, C., Correa, L.. G.. G., Dacre, M., DeBarry, J., Dreyer, I., Elias, M., Engstrom, E.. M., Estelle, M., Feng, L., Finet, C., Floyd, S.. K., Frommer, W.. B., Fujita, T., Gramzow, L., Gutensohn, M., Harholt, J., Hattori, M., Heyl, A., Hirai, T., Hiwatashi, Y., Ishikawa, M., Iwata, M., Karol, K.. G., Koehler, B., Kolukisaoglu, U., Kubo, M., Kurata, T., Lalonde, S., Li, K., Li, Y., Litt, A., Lyons, E., Manning, G., Maruyama, T., Michael, T.. P., Mikami, K., Miyazaki, S., Morinaga, S., Murata, T., Mueller-Roeber, B., Nelson, D.. R., Obara, M., Oguri, Y., Olmstead, R.. G., Onodera, N., Petersen, B.. L., Pils, B., Prigge, M., Rensing, S.. A., Riano-Pachon, D.. M., Roberts, A.. W., Sato, Y., Scheller, H.. V., Schulz, B., Schulz, C., Shakirov, E.. V., Shibagaki, N., Shinohara, N., Shippen, D.. E., Sorensen, I., Sotooka, R., Sugimoto, N., Sugita, M., Sumikawa, N., Tanurdzic, M., Theissen, G., Ulvskov, P., Wakazuki, S., Weng, J., Willats, W.. W.. G.. T., Wipf, D., Wolf, P.. G., Yang, L., Zimmer, A.. D., Zhu, Q., Mitros, T., Hellsten, U., Loque, D., Otillar, R., Salamov, A., Schmutz, J., Shapiro, H., Lindquist, E., Lucas, S., Rokhsar, D., Grigoriev (2011). The Selaginella Genome Identifies Genetic Changes Associated with the Evolution of Vascular Plants. , 332(6032), 960-963. https://doi.org/10.1126/science.1203810
Barthelson, S., McFarlin, A.. J., Rounsley, S.. D., Young (2011). Plantagora: Modeling Whole Genome Sequencing and Assembly of Plant Genomes. , 6(12), e28436. https://doi.org/10.1371/journal.pone.0028436
Basney, J., Dooley, R., Gaynor, J., Marru, S., Pierce, M. (2011). Distributed web security for science gateways. Proceedings of the 2011 ACM workshop on Gateway computing environments, 13–20.
Boerma, E., Wilson, R., Ready (2011). Soybean genomics research program strategic plan. , 4(1), 1–11.
Brown, S.. A., Thatcher, S.. M. (2011). Factors Influencing Adoption And Non-Adoption Of Cyberinfrastructure By The Research Community.. PACIS, 31.
Carey, H.. V. (2011). Grand challenges in organismal physiology. The Physiologist, 54(5), 169, 171-172.
Del Vescovo, C., Klinov, P., Parsia, B., Sattler, U., Schneider, T. (2011). DeMoSt: a tool for exploring the decomposition and the modular structure of OWL ontologies. Proceedings of the 10th International Semantic Web Conference (ISWC-11), 191. https://doi.org/10.1007/978-3-642- 25073-6_9
Feng, L., Grossman, R., Stein (2011). PeakRanger: A cloud-enabled peak caller for ChIP-seq data. , 12(1), 139. https://doi.org/10.1186/1471-2105-12-139
Galbraith, P.. S., Bennetzen, J.. L., Kellogg, E.. A., Pires, J.. C., Soltis (2011). The Genomes of All Angiosperms: A Call for a Coordinated Global Census. , 2011, 10-Jan. https://doi.org/10.1155/2011/646198
Goff, D., Vaughn, M., McKay, S., Lyons, E., Stapleton, A.. E., Gessler, D., Matasci, N., Wang, L., Hanlon, M., Lenards, A., Muir, A., Merchant, N., Lowry, S., Mock, S., Helmke, M., Kubach, A., Narro, M., Hopkins, N., Micklos, D., Hilgert, U., Gonzales, M., Jordan, C., Skidmore, E., Dooley, R., Cazes, J., McLay, R., Lu, Z., Pasternak, S., Koesterke, L., Piel, W.. H., Grene, R., Noutsos, C., Gendler, K., Feng, X., Tang, C., Lent, M., Kim, S., Kvilekval, K., Manjunath, B.. S., Tannen, V., Stamatakis, A., Sanderson, M., Welch, S.. M., Cranston, K.. A., Soltis, P., Soltis, D., O'Meara, B., Ane, C., Brutnell, T., Kleibenstein, D.. J., White, J.. W., Leebens-Mack, J., Donoghue, M.. J., Spalding, E.. P., Vision, T.. J., Myers, C.. R., Lowenthal, D., Enquist, B.. J., Boyle, B., Akoglu, A., Andrews, G., Ram, S., Ware, D., Stein, L., Stanzione (2011). The iPlant Collaborative: Cyberinfrastructure for Plant Biology. , 2. https://doi.org/10.3389/fpls.2011.00034
Kimbrel, J.. H., Di, Y., Cumbie, J.. S., Chang (2011). RNA-Seq for Plant Pathogenic Bacteria. , 2(4), 689-705. https://doi.org/10.3390/genes2040689
Koesterke, L., Stanzione, D., Vaughn, M., Welch, S.. M., Kusnierczyk, W., Yang, J., Yeh, C., Nettleton, D., Schnable, P.. S. (2011). An efficient and scalable implementation of SNP-pair interaction testing for genetic association studies. 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum, 523–530.
Lenards, A., Merchant, N., Stanzione, D. (2011). Building an environment to facilitate discoveries for plant sciences. Proceedings of the 2011 ACM workshop on Gateway computing environments, 51–58.
Liu, J. (2011). W7 model of provenance and its use in the context of wikipedia. .
Liu, S., Ram (2011). Who does what: Collaboration patterns in the wikipedia and their impact on article quality. , 2(2), 23-Jan. https://doi.org/10.1145/1985347.1985352
Macilwain, C. (2011). Systems Biology: Evolving into the Mainstream. , 144(6), 839-841. https://doi.org/10.1016/j.cell.2011.02.044
Makumburage, G.. B., Stapleton, A.. E. (2011). Phenotype Uniformity in Combined-Stress Environments has a Different Genetic Architecture than in Single-Stress Treatments. Frontiers in Plant Science, 2. https://doi.org/10.3389/fpls.2011.00012
Matasci, N., Boyd, B., Lu, Z., Hopkins, N., Piel, W.. H., Garay, J.. A.. R., Gregory, S., Lowry, S., McKay, S.. J., Narro, M.. L., others (2011). Correcting and Standardizing Taxonomic Names with the Taxonomic Name Resolution Service. TDWG 2011 Annual Conference.
McLay, T., Stanzione, D., Mckay, S., Wheeler (2011). A scalable parallel implementation of the neighbor joining algorithm for phylogenetic trees. .
Micklos, A., Lauter, S., Nisselle (2011). Lessons from a Science Education Portal. , 334(6063), 1657-1658. https://doi.org/10.1126/science.1197074
Nodine, F.. E., Bryan, A.. C., Racolta, A., Jerosky, K.. V., Tax (2011). A few standing for many: embryo receptor-like kinases. , 16(4), 211-217. https://doi.org/10.1016/j.tplants.2011.01.005
Rogowitz, N., Matasci (2011). Metadata Mapper: a web service for mapping data between independent visual analysis components, guided by perceptual rules. , 78650I. https://doi.org/10.1117/12.881734
Schaeffer, C.. J., Harper, L.. C., Gardiner, J.. M., Andorf, C.. M., Campbell, D.. A., Cannon, E.. K.. S., Sen, T.. Z., Lawrence (2011). MaizeGDB: curation and outreach go hand-in-hand. , 2011(0), bar022-bar022. https://doi.org/10.1093/database/bar022
Schnable, E., Lyons (2011). Comparative genomics with maize and other grasses: from genes to genomes!. Maydica, 56(2).
Skidmore, E., Kim, S., Kuchimanchi, S., Singaram, S., Merchant, N., Stanzione, D. (2011). iPlant atmosphere: a gateway to cloud infrastructure for the plant sciences. Proceedings of the 2011 ACM workshop on Gateway computing environments, 59–64.
Smith, M.. J., Beaulieu, J.. M., Stamatakis, A., Donoghue (2011). Understanding angiosperm diversification using small and large phylogenetic trees. , 98(3), 404-414. https://doi.org/10.3732/ajb.1000481
Stanzione, D. (2011). The iPlant Collaborative: Cyberinfrastructure to Feed the World. , 44(11), 44-52. https://doi.org/10.1109/MC.2011.297
Stillman, B., Denny, M., Padilla, D.. K., Wake, M.. H., Patek, S., Tsukimura (2011). Grand Opportunities: Strategies for Addressing Grand Challenges in Organismal Animal Biology. , 51(1), 13-Jul. https://doi.org/10.1093/icb/icr052
Tang, M., Lyons, E., Pedersen, B., Schnable, J.. C., Paterson, A.. H., Freeling (2011). Screening synteny blocks in pairwise genome comparisons through integer programming. , 12(1), 102. https://doi.org/10.1186/1471-2105-12-102
Wang, F. (2011). From AI to SciTS: Team Science and Research Intelligence. , 26(3), 4-Feb. https://doi.org/10.1109/MIS.2011.49
Wang, T.. P., Peterson, R.. B., Brutnell (2011). Regulatory mechanisms underlying C4 photosynthesis: Tansley review. , 190(1), 20-Sep. https://doi.org/10.1111/j.1469-8137.2011.03649.x
Wang, T.. P., Si, Y., Dedow, L.. K., Shao, Y., Liu, P., Brutnell (2011). A Low-Cost Library Construction Protocol and Data Analysis Pipeline for Illumina-Based Strand-Specific Multiplex RNA-Seq. , 6(10), e26426. https://doi.org/10.1371/journal.pone.0026426
Zamer, W.. E. (2011). A Cohesive Biology of Organisms Is on the Horizon. BioScience, 61(11), 848-849. https://doi.org/10.1525/bio.2011.61.11.3
Zheng, C., Swenson, K., Lyons, E., Sankoff, D. (2011). OMG! Orthologs in Multiple Genomes – Competing Graph-Theoretical Formulations. Algorithms in Bioinformatics, 6833, 364-375.
2010
Brown, S.. A., Thatcher, S., Dang, Y. (2010). Managing knowledge in a changing scientific landscape: The impact of cyberinfrastructure. 2010 43rd Hawaii International Conference on System Sciences, 1–10.
Hanlon, M.. R., Mock, S., Nuthulapati, P., Gonzales, M.. B., Soltis, P., Soltis, D., Majure, L.. C., Payton, A., Mishler, B., Tremblay, S., Madsen, T., Olmstead, R., McCourt, R., Wojciechowski, M., Merchant, N. (2010). My-Plant.org: A phylogenetically structured social network. 2010 Gateway Computing Environments Workshop (GCE), 1-8. https://doi.org/10.1109/GCE.2010.5676118
Macías-Duarte, A., Conway, C.. J., Munguia-Vega, A., Culver, M. (2010). Novel microsatellite loci for the burrowing owl Athene cunicularia. Conservation Genetics Resources, 2(1), 67–69.
McKay, J.. E., Vergara, I.. A., Stajich (2010). Using the Generic Synteny Browser (GBrowse_syn). , bi0912s31.
Moore, W.. L., Anderson (2010). ASIS&T research data access and preservation summit: Conference summary. , 36(6), 42-45. https://doi.org/10.1002/bult.2010.1720360611
Nelson, D.. D., Avraham, S., Shoemaker, R.. C., May, G.. D., Ware, D., Gessler (2010). Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration. , 3(1), 3. https://doi.org/10.1186/1756-0381-3-3
Perianayagam, S., Andrews, G.. R., Hartman, J.. H. (2010). Rex: A toolset for reproducing software experiments. 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 613-617. https://doi.org/10.1109/BIBM.2010.5706639
Ram, W., Wei (2010). How social is social bookmarking?. , 8-Jan. https://doi.org/10.1109/BASNA.2010.5730302
Wang, L.. D., Stein (2010). Localizing triplet periodicity in DNA and cDNA sequences. , 11(1), 550. https://doi.org/10.1186/1471-2105-11-550
2009
Gessler, R.. T., Schiltz, G.. S., May, G.. D., Avraham, S., Town, C.. D., Grant, D., Nelson (2009). SSWAP: A Simple Semantic Web Architecture and Protocol for semantic web services. , 10(1), 309. https://doi.org/10.1186/1471-2105-10-309
Han, Y., Burnette, J.. M., Wessler, S.. R. (2009). TARGeT: a web-based pipeline for retrieving and characterizing gene and transposable element families from genomic sequences. Nucleic Acids Research, 37(11), e78-e78. https://doi.org/10.1093/nar/gkp295
Liu, J., Ram, S. (2009). Who does what: Collaboration patterns in the wikipedia and their impact on data quality. 19th Workshop on Information Technologies and Systems, 175–180.
Merchant, E., Hartman, J., Lowry, S., Lenards, A., Lowenthal, D., Skidmore (2009). Leveraging Cloud Infrastructure for Life Sciences Research Laboratories: A Generalized View. , 53.
Soltis, P.. S., Burleigh, G., Barbazuk, W.. B., Moore, M.. J., Soltis (2009). Advances in the use of next-generation sequence data in plant systematics and evolution. , 859, 193-206.
2008
Holuigue, R.. A., Vielle-Calzada, J., Gutiérrez, Stein, L.. D., Piel, W., Holuigue, L., Vielle-Calzada, J., Gutiérrez, R.. A. (2008). Crops in all shapes and sizes. . https://doi.org/10.1186/gb-2008-9-9-319
Piel, W. (2008). Obstacles and Avenues Facing Phyloinformatic Research. .
Ram, S., Zhang, K., Wei, W. (2008). Linking Biological Databases Semantically for Knowledge Discovery. Advances in Conceptual Modeling – Challenges and Opportunities, 5232, 22-32.
Stein, L.. D. (2008). Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges. .