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… researchers searching for sequences of RNA viruses in large data sets, their work may be akin to finding a single … this workflow, the team combed through more than 5,000 data sets of RNA sequences (metatranscriptomes) generated … Advances in sequencing technologies and computational tools have uncovered a diversity of viruses that infect not …
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… flows, and evolved into scalable methods for scientific data analysis. In 2014 Dr. Fagnan became the JGI-NERSC … hardware and worked closely with staff to understand the data-intensive nature of JGI workloads. Dr. Fagnan was … of the JGI in 2016, and in 2018 was hired to be the JGI’s Data Science and Informatics department head. Dr. Fagnan is …
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… the latest interactive version of the JGI’s plant data portal. On August 6, 2021, version 12 of Phytozome … intuitive interface, deployed on much more maintainable software and hardware infrastructure. Phytozome v13 has been … and there are now much more powerful and flexible tools available for building high performance user …
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… recently selected as the 2025 recipient of the Microbiome Data Prize by the American Society for Microbiology (ASM). … the virus and plasmid workflows for the National Microbiome Data Collaborative. This award recognizes distinguished research achievements that support open data practices, development of standards and processes for …
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… begin, and all CSP proposals are subject to JGI policies on Data Release and Publication . Except for applicants to … The deliverables can range from raw sequence data to well-annotated assembled genomes to synthesized DNA constructs to metabolomics data, depending on the specific product types covered in the …
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… trillion. Last year, the JGI surpassed three Petabases of data sequenced — that’s three-quadrillion base pairs of DNA … all of this information. The JGI aims to create pipelines, tools and other standardized data resources that the global … up with JGI staff, collaborators and users to see how software and supercomputing capabilities have evolved to …
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… a postdoc and went to industry to see what they had, what data they had. DAN UDWARY: And they had a lot of data for the time, right? BRIAN BACHMANN: For the time. … an undergraduate and not succeeding and still using all the tools from mechanistic enzymology to natural product …
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