Mapping missense mutations from dbSNP to 3D structures – just one of numerous options for data mining the worldwide Protein Data Bank. Image courtesy of: https://github.com/sbl-sdsc/mmtf-genomics

Data Mining 3D Protein Structures, CyVerse Style

CyVerse community member Peter Rose and his team have developed a structural bioinformatics application that provides reproducibility, scalability, and interactivity to efforts to mine the worldwide Protein Data Bank.

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Glenn Moloney (ARDC), Edwin Skidmore (CyVerse), Nirav Merchant (CyVerse), Rhys Francis (Australian eResearch Infrastructure Council), Andrew Lonie (EMBL-ABR), and Frankie Stevens (AARNet) gathered at the University of Arizona to discuss the process of federating CyVerse infrastructure.

Researchers Explore Creation of CyVerse Australia

Data scientists recently visited CyVerse headquarters to discuss federating the CyVerse infrastructure framework to support the Australian research community.

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The Hurwitz Lab makes extremely large data sets from a range of storage servers searchable to assist scientific discovery.

Data on Demand: Creating a Search Engine for Microbiome Sciences

The Hurwitz Lab makes extremely large data sets from a range of storage servers searchable to assist scientific discovery.

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CyVerse Receives Third NSF Award for Enabling Data Science

CyVerse Receives Third NSF Award for Enabling Data Science

CyVerse, a national cyberinfrastructure project led by the University of Arizona, has received a third five-year award from the National Science Foundation's Directorate for Biological Sciences, bringing total project funding to $115 million.

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Measuring Species Traits to Monitor Biodiversity

Management of global biodiversity requires up-to-date, reliable and comparable biodiversity data. Essential biodiversity variables such as species traits is one way to monitor the global state of biodiversity.

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