2018 Publications

Afgan, E., Lonie, A., Taylor, J., & Goonasekera, N. (2018). CloudLaunch: Discover and Deploy Cloud Applications. ArXiv:1805.04005 [Cs]. http://arxiv.org/abs/1805.04005
Ahmed, M. B., Santos, K. C. G. dos, Sanchez, I. B., Petre, B., Lorrain, C., Plourde, M. B., Duplessis, S., Desgagné-Penix, I., & Germain, H. (2018). A rust fungal effector binds plant DNA and modulates transcription. Scientific Reports, 8, 14718. https://doi.org/10.1038/s41598-018-32825-0
AlKhalifah, N., Campbell, D. A., Falcon, C. M., Gardiner, J. M., Miller, N. D., Romay, M. C., Walls, R., Walton, R., Yeh, C.-T., Bohn, M., Bubert, J., Buckler, E. S., Ciampitti, I., Flint-Garcia, S., Gore, M. A., Graham, C., Hirsch, C., Holland, J. B., Hooker, D., … Lawrence-Dill, C. J. (2018). Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. BMC Research Notes, 11(1), 452. https://doi.org/10.1186/s13104-018-3508-1
Atallah, N. M., Vitek, O., Gaiti, F., Tanurdzic, M., & Banks, J. A. (2018). Sex Determination in Ceratopteris richardii Is Accompanied by Transcriptome Changes That Drive Epigenetic Reprogramming of the Young Gametophyte. G3: Genes|Genomes|Genetics, 8(7), 2205–2214. https://doi.org/10.1534/g3.118.200292
Ayella, A., & Beck, M. R. (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. Biochemistry and Molecular Biology Education, 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 ) [Preprint]. PeerJ Preprints. https://doi.org/10.7287/peerj.preprints.27162v1
Bagley, J., Heming, N., Devisetty, U., Mock, K., Eckert, A., & Strauss, S. (2018). Genotyping-by-sequencing and ecological niche modeling illuminate phylogeography, admixture, and Pleistocene range dynamics in quaking aspen (Populus tremuloides). PeerJ Preprints. https://doi.org/10.7287/peerj.preprints.27162
Baker, S. S. (2018). Using DNA Barcoding To Identify Duckweed Species as Part of an Undergraduate Ecology Course. In E. S. Roberts-Kirchhoff & M. A. Benvenuto (Eds.), ACS Symposium Series (Vol. 1276, pp. 67–79). American Chemical Society. https://doi.org/10.1021/bk-2018-1276.ch005
Beardsley, T. M., Gropp, R. E., & Verdier, J. M. (2018). Addressing Biological Informatics Workforce Needs: A Report from the AIBS Council. BioScience, 68, 847–853. https://doi.org/10.1093/biosci/biy116
Beckman, N. G., Bullock, J. M., & Salguero-Gómez, R. (2018). High dispersal ability is related to fast life-history strategies. Journal of Ecology, 106(4), 1349–1362. https://doi.org/10.1111/1365-2745.12989
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
Boggess, E. E. (2018). Methods for analysis of derivative strains from metabolic evolution experiments.
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. Plant Journal, 97, 182–198. https://doi.org/10.1111/tpj.14179
Borton, 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, J. M., & others. (2018). Coupled laboratory and field investigations resolve microbial interactions that underpin persistence in hydraulically fractured shales. Proceedings of the National Academy of Sciences, 115(28), E6585–E6594.
Breen, J., 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, B. (2018). Building the SLATE Platform. Proceedings of the Practice and Experience on Advanced Research Computing - PEARC ’18, 1–7. https://doi.org/10.1145/3219104.3219144
Brown, A. V., Campbell, J. D., Assefa, T., Grant, D., Nelson, R. T., Weeks, N. T., & Cannon, S. B. (2018). Ten quick tips for sharing open genomic data. PLoS Computational Biology, 14, e1006472. https://doi.org/10.1371/journal.pcbi.1006472
Budnick, J. A., Sheehan, L. M., Kang, L., Michalak, P., & Caswell, C. C. (2018). Characterization of Three Small Proteins in Brucella abortus Linked to Fucose Utilization. Journal of Bacteriology, 200(18), e00127-18, /jb/200/18/e00127-18.atom. https://doi.org/10.1128/JB.00127-18
Calkins, T. L., Chen, M.-E., Arora, A. K., Hawkings, C., Tamborindeguy, C., & Pietrantonio, P. V. (2018). Brain gene expression analyses in virgin and mated queens of fire ants reveal mating-independent and socially regulated changes. Ecology and Evolution, 8(8), 4312–4327. https://doi.org/10.1002/ece3.3976
Čerekovič, N., Fatnassi, N., Santino, A., & Poltronieri, P. (n.d.). Differences in Physiological, Biochemical, and Molecular Mechanisms of Water Stress Tolerance in Chickpea Varieties.
Chapa, M. X. (2018). A Cyberinfrastructure Plat Form for the Modeling and Optimization of Biomass Logistics.
Choi, H. K. (2019). Translational genomics and multi-omics integrated approaches as a useful strategy for crop breeding. Genes and Genomics, 41, 133–146. https://doi.org/10.1007/s13258-018-0751-8
Choi, I., Ponsero, A. J., Bomhoff, M., Youens-Clark, K., Hartman, J. H., & Hurwitz, B. L. (2018). Libra: Scalable k-mer-based tool for massive all-vs-All metagenome comparisons. GigaScience, 8. https://doi.org/10.1093/gigascience/giy165
Chougule, K. M., Wang, L., Stein, J. C., Wang, X., Devisetty, U. K., Klein, R. R., & Ware, D. (2018). Improved RNA-seq Workflows Using CyVerse Cyberinfrastructure. Current Protocols in Bioinformatics, 63, e53. https://doi.org/10.1002/cpbi.53
Cleveland, S. B., Dooley, R., Perry, D., Stubbs, J., Fonner, J. M., & Jacobs, G. A. (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. Proceedings of the Practice and Experience on Advanced Research Computing  - PEARC ’18, 1–8. 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.-J., Pascuzzi, P. E., Martienssen, R. A., Vaughn, M. W., Thompson, W. F., & Hanley-Bowdoin, L. (2018). Genome-Wide Analysis of the Arabidopsis Replication Timing Program. Plant Physiology, 176(3), 2166–2185. https://doi.org/10.1104/pp.17.01537
Corrie, B. D., 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, F. (2018). iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories. Immunological Reviews, 284(1), 24–41. https://doi.org/10.1111/imr.12666
Cox, S. J. D., Lehnert, K., Klump, J., Wyborn, L., & Walls, R. (2018). Specimen Identifiers in Related Disciplines: What can Biodiversity Learn from and Offer to Other Fields? Biodiversity Information Science and Standards, 2, e26615. https://doi.org/10.3897/biss.2.26615
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
Dalcin Martins, P., Danczak, R. E., Roux, S., Frank, J., Borton, M. A., Wolfe, R. A., Burris, M. N., & Wilkins, M. J. (2018). Viral and metabolic controls on high rates of microbial sulfur and carbon cycling in wetland ecosystems. Microbiome, 6, 138. https://doi.org/10.1186/s40168-018-0522-4
Das, S., Vraspir, L., Zhou, W., Durica, D. S., & Mykles, D. L. (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. Comparative Biochemistry and Physiology Part D: Genomics and Proteomics, 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.
Davies, Neil, John Deck, Karthik Ram, Ramona Walls, & Williams, R. (2018). Blockchain-enabled Data Trusts for Futuromics Research. American Geophysical Union, Fall Meeting 2018, IN53A-08. http://adsabs.harvard.edu/abs/2018AGUFMIN53A..08D
de 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, 565–575. https://doi.org/10.1111/nph.15587
Dewan, P., Joyce, B., & Merchant, N. (2018a). Human-centric programming in the large—Command languages to scalable cyber training (Vols. 2018-Octob). IEEE.
Dewan, P., Joyce, B., & Merchant, N. (2018b). Human-Centric Programming in the Large—Command Languages to Scalable Cyber Training. 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 295–297. https://doi.org/10.1109/VLHCC.2018.8506564
Dick, G. (2018a). Genomic approaches in Earth and environmental sciences. Genomic Approaches in Earth and Environmental Sciences, 1–163. https://doi.org/10.1002/9781118708231
Dick, G. (2018b). Genomic Approaches in Earth and Environmental Sciences. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118708231
Dickinson, E., Rusilowicz, M. J., Dickinson, M., Charlton, A. J., Bechtold, U., Mullineaux, P. M., & Wilson, J. (2018). Integrating transcriptomic techniques and k-means clustering in metabolomics to identify markers of abiotic and biotic stress in Medicago truncatula. Metabolomics, 14, 126. https://doi.org/10.1007/s11306-018-1424-y
Do, H., & Cetin, K. S. (2018). Residential Building Energy Consumption: A Review of Energy Data Availability, Characteristics, and Energy Performance Prediction Methods. Current Sustainable/Renewable Energy Reports, 5(1), 76–85. https://doi.org/10.1007/s40518-018-0099-3
Domingues, L. N., Guerrero, F. D., Cameron, C., Farmer, A., Bendele, K. G., & Foil, L. D. (2018). The assembled transcriptome of the adult horn fly, Haematobia irritans. Data in Brief, 19, 1933–1940. https://doi.org/10.1016/j.dib.2018.06.095
Dooley, R., Brandt, S. R., & Fonner, J. (2018). The Agave Platform: An Open, Science-as-a-Service Platform for Digital Science. Proceedings of the Practice and Experience on Advanced Research Computing - PEARC ’18, 1–8. https://doi.org/10.1145/3219104.3219129
Dooley, R., & Cleveland, S. (2018). Accelerating Gateway Development with Agave ToGo Webapps and Microsites. Proceedings from the 10th International Workshop on Science Gateways (IWSG 2018), 13-15 June 2018. http://ceur-ws.org/Vol-2357/paper4.pdf
Egyedi, Attila L. ,. Martin J. O’Connor, Marcos Martínez-Romero, Debra Willrett, Josef Hardi, John Graybeal, & Musen, M. A. (2018). Using Semantic Technologies to Enhance Metadata Submissions to Public Repositories in Biomedicine. Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences (SWAT4HCLS 2018), 2275, 1. http://ceur-ws.org/Vol-2275/paper1.pdf
Emerson, J. 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., … Sullivan, M. B. (2018). Host-linked soil viral ecology along a permafrost thaw gradient. Nature Microbiology, 3(8), 870–880. https://doi.org/10.1038/s41564-018-0190-y
Endara, L., Thessen, A., Cole, H., Walls, R., Gkoutos, G., Cao, Y., Chong, S., & Cui, H. (2018). Modifier Ontologies for frequency, certainty, degree, and coverage phenotype modifier. Biodiversity Data Journal, 6, e29232. https://doi.org/10.3897/bdj.6.e29232
Enders, Tara, Nathan Miller, Elizabeth Sampson, Sara Tirado, Nathan Springer, & Spalding, E. (2018). Machine vision phenotyping platform for seedling growth and morphology. Proceedings of Phenome 2018. https://community.plantae.org/files/posts/5044038905985238342/32510ad6914bb14e0dd8290b4f55866c_Phenome%202018%20Speaker%20and%20Poster%20Abstracts.pdf
Essawy, B. T., Goodall, J. L., Zell, W., Voce, D., Morsy, M. M., Sadler, J., Yuan, Z., & Malik, T. (2018). Integrating scientific cyberinfrastructures to improve reproducibility in computational hydrology: Example for HydroShare and GeoTrust. Environmental Modelling & Software, 105, 217–229. https://doi.org/10.1016/j.envsoft.2018.03.025
Farley, S. S., Dawson, A., Goring, S. J., & Williams, J. W. (2018). Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions. BioScience, 68(8), 563–576. https://doi.org/10.1093/biosci/biy068
Fischer, J., & Sudarshan, S. (2018a). Introduction to Jetstream. J. Comput. Sci. Coll., 34, 189–191.
Fischer, J., & Sudarshan, S. (2018b). Introduction to Jetstream: Tutorial Presentation. J. Comput. Sci. Coll., 34, 19–21.
Fusi, F., Manzella, D., Louafi, S., & Welch, E. (2018). Building Global Genomics Initiatives and Enabling Data Sharing: Insights from Multiple Case Studies. OMICS: A Journal of Integrative Biology, 22(4), 237–247. https://doi.org/10.1089/omi.2017.0214
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. ArXiv E-Prints, q-bio.PE.
Ge, S. X., Son, E. W., & Yao, R. (2018). IDEP: An integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinformatics, 19, 534. https://doi.org/10.1186/s12859-018-2486-6
Gesing, S. (2018). Science Gateways in HPC: Usability Meets Efficiency and Effectiveness. In J. Kołodziej, F. Pop, & C. Dobre (Eds.), Modeling and Simulation in HPC and Cloud Systems (Vol. 36, pp. 73–86). Springer International Publishing. https://doi.org/10.1007/978-3-319-73767-6_5
Gladstein, A. (2018). Inference of Recent Demographic History of Population Isolates Using Genome-Wide High Density SNP Arrays and Whole Genome Sequences—ProQuest.
Gregory, A. C., Sullivan, M. B., Segal, L. N., & Keller, B. C. (2018). Smoking is associated with quantifiable differences in the human lung DNA virome and metabolome. Respiratory Research, 19, 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.
Gupta, Amit, Weijia Xu, Pankaj Jaiswal, Crispin Taylor, & 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), Corvallis, Oregon, USA, 2285, No. 43. http://ceur-ws.org/Vol-2285/ICBO_2018_paper_43.pdf
Guralnick, R., Wieczorek, J., & Bloom, D. (2018). The Death of VertNet Has Been Greatly Exaggerated But We Still Archive. Biodiversity Information Science and Standards, 2, e26836. https://doi.org/10.3897/biss.2.26836
Hacisalihoglu, G., Kantanka, S., Miller, N., Gustin, J. L., & Mark Settles, A. (2018). Modulation of early maize seedling performance via priming under sub-optimal temperatures. PLoS ONE, 13, e0206861. https://doi.org/10.1371/journal.pone.0206861
Hamm, Lauren, & Peredo, E. L. (2018). Biogeography of Gracilaria species in Waquoit Bay. http://www.mbl.edu/ses/files/2018/02/Hamm_Lauren.pdf
Hazekamp, Nicholas, Upendra Kumar Devisetty, Nirav Merchant, & Thain, D. (2018). MAKER as a Service: Moving HPC applications to Jetstream Cloud. Proceedings from IC2E 2018. http://ccl.cse.nd.edu/research/papers/maker-service-ic2e2018.pdf
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, P. B., Stahlman, G. R., & Steffen, J. (2018). Astrolabe: Curating, Linking and Computing Astronomy’s Dark Data. The Astrophysical Journal Supplement Series, 236(1), 3. https://doi.org/10.3847/1538-4365/aab77e
Hirsh, C. (2018). Machine vision phenotyping platform for seedling growth and morphology. Proceedings of Phenome 2018. https://community.plantae.org/files/posts/5044038905985238342/32510ad6914bb14e0dd8290b4f55866c_Phenome%202018%20Speaker%20and%20Poster%20Abstracts.pdf
Horvath, D. P., Bruggeman, S., Moriles-Miller, J., Anderson, J. V., Dogramaci, M., Scheffler, B. E., Hernandez, A. G., Foley, M. E., & Clay, S. (2018). Weed presence altered biotic stress and light signaling in maize even when weeds were removed early in the critical weed-free period. Plant Direct, 2(4), e00057. https://doi.org/10.1002/pld3.57
Horvath, D. P., 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, S. (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. Weed Science, 66(3), 355–367. https://doi.org/10.1017/wsc.2018.2
Howard-Varona, C., Hargreaves, K. R., Solonenko, N. E., Markillie, L. M., White, R. A., Brewer, H. M., Ansong, C., Orr, G., Adkins, J. N., & Sullivan, M. B. (2018). Multiple mechanisms drive phage infection efficiency in nearly identical hosts. The ISME Journal, 12(6), 1605–1618. https://doi.org/10.1038/s41396-018-0099-8
Howard-Varona, C., Vik, D. R., Solonenko, N. E., Gazitua, M. C., Hobbs, Z., Honaker, R. W., Kinkhabwala, A. A., & Sullivan, M. B. (2018). Whole-Genome Sequences of Phages p000v and p000y, Which Infect the Bacterial Pathogen Shiga-Toxigenic Escherichia coli. Microbiology Resource Announcements, 7, e01400-18. https://doi.org/10.1128/mra.01400-18
Howard-Varona, C., Vik, D., Solonenko, N., Li, Y.-F., Gazitua, M., Chittick, L., Samiec, J., Jensen, A., Anderson, P., Howard-Varona, A., Kinkhabwala, A., Abedon, S., & Sullivan, M. (2018). Fighting Fire with Fire: Phage Potential for the Treatment of E. coli O157 Infection. Antibiotics, 7, 101. https://doi.org/10.3390/antibiotics7040101
Hubbard, J. (2018a). Data and -omics-driven approaches to understand the heat stress response: The development of scalable tools and methods to drive hypothesis generation.
Hubbard, Jr. ,. Allen Henry. (2018b). Data and -omics-driven approaches to understand the heat stress response: The development of scalable tools and methods to drive hypothesis generation. http://udspace.udel.edu/bitstream/handle/19716/23816/Hubbard_udel_0060D_13357.pdf?sequence=1&isAllowed=y
Huot, O. B., Levy, J. G., & Tamborindeguy, C. (2018). Global gene regulation in tomato plant (Solanum lycopersicum) responding to vector (Bactericera cockerelli) feeding and pathogen (‘Candidatus Liberibacter solanacearum’) infection. Plant Molecular Biology, 97(1–2), 57–72. https://doi.org/10.1007/s11103-018-0724-y
Inostroza, L., Bhakta, M., Acuña, H., Vásquez, C., Ibáñez, J., Tapia, G., Mei, W., Kirst, M., Resende, M., & Munoz, P. (2018). Understanding the Complexity of Cold Tolerance in White Clover using Temperature Gradient Locations and a GWAS Approach. The Plant Genome, 11, 0. https://doi.org/10.3835/plantgenome2017.11.0096
Joyce, B. (2018). Image Analysis using CyVerse. Proceedings of Phenome 2018. https://community.plantae.org/files/posts/5044038905985238342/32510ad6914bb14e0dd8290b4f55866c_Phenome%202018%20Speaker%20and%20Poster%20Abstracts.pdf
Kalbfleisch, T. S., 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., … MacLeod, J. N. (2018). Improved reference genome for the domestic horse increases assembly contiguity and composition. Communications Biology, 1, 197. https://doi.org/10.1038/s42003-018-0199-z
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
Katz, D. S., 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., … Walsh, J. (2018). The principles of tomorrow’s university. F1000Research, 7, 1926. https://doi.org/10.12688/f1000research.17425.1
Kee, K. F., & Schrock, A. R. (2019). Telephone Interviewing as a Qualitative Methodology for Researching Cyberinfrastructure and Virtual Organizations. In J. Hunsinger, L. Klastrup, & M. M. Allen (Eds.), Second International Handbook of Internet Research (pp. 1–15). Springer Netherlands. https://doi.org/10.1007/978-94-024-1202-4_52-1
Khangura, R. S., Marla, S., Venkata, B. P., Heller, N. J., Johal, G. S., & Dilkes, B. P. (2018). A Very Oil Yellow1 Modifier of the Oil Yellow1-N1989 Allele Uncovers a Cryptic Phenotypic Impact of Cis -regulatory Variation in Maize. G3: Genes|Genomes|Genetics, 9, g3.200798.2018. https://doi.org/10.1534/g3.118.200798
Kissling, W. D., 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., … Guralnick, R. P. (2018). Towards global data products of Essential Biodiversity Variables on species traits. Nature Ecology and Evolution, 2, 1531–1540. https://doi.org/10.1038/s41559-018-0667-3
Kremling, K. A. G., Chen, S.-Y., Su, M.-H., Lepak, N. K., Romay, M. C., Swarts, K. L., Lu, F., Lorant, A., Bradbury, P. J., & Buckler, E. S. (2018). Dysregulation of expression correlates with rare-allele burden and fitness loss in maize. Nature, 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 [PhD Thesis]. The University of North Carolina at Chapel Hill.
Lent, H., Hahn-Powell, G., Haug-Baltzell, A., Davey, S., Surdeanu, M., & Lyons, E. (2018). Science Citation Knowledge Extractor. Frontiers in Research Metrics and Analytics, 3, 35. https://doi.org/10.3389/frma.2018.00035
Levy, J., Tamborindeguy, C., Athrey, G., Scheuring, D. C., Koym, J. W., & Miller, J. C. (2018). Transcriptome of Russet Norkotah and its clonal selection, TXNS278. BMC Research Notes, 11(1), 160. https://doi.org/10.1186/s13104-018-3254-4
Linero, W. F. (2018). Seed Dispersal by Chelonians: From Individuals to Communities.
Linero, W. F., LPetchey, O., MHansen, D., BUNBURY, N., KAISER-BUNBURY, C., & OZGUL, A. (2018). Seed Dispersal by Chelonians: From Individuals to Communities [PhD Thesis]. Universität Zürich.
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