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Characterizing Communities: JGI Announces Latest CSP Portfolio
… Proposals aim to sequence and annotate genomes from Antarctica to Africa to … Nearly 200 Terabases of data are expected to be generated for the accepted proposals, said Susannah Tringe, JGI User … and receiving feedback from reviewers, was invaluable in preparing the large-scale application. It provided practice …
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2024 Progress Report
… Biology Knowledgebase (KBase), the National Microbiome Data Collaborative (NMDC), and Berkeley Lab Biosciences Area … also co-located in the IGB. Vision  Lead genomic innovation for a sustainable bioeconomy. Mission  As a U.S. Department … to realize our new vision to, “ Lead genomic innovation for a sustainable bioeconomy ” — as articulated in our new …
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JGI Part of Berkeley Lab Team Awarded Best Use of HPC in Life Sciences
… the Energy Sciences Network (ESnet) have been recognized for outstanding achievements in science, technology, and … results this year by assembling a collection of large datasets that will enable scientists to explore and collect … parallel algorithms and GPU acceleration, and we’re preparing for another order of magnitude in scale when …
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Programs & Platform Leads
… of complex biological, earth, and environmental systems for energy and infrastructure security. In complement to … draw from the infrastructure of Genomic Technologies and Data Science & Informatics. The JGI also sustains a vibrant community …
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SoyCSN: Soybean context‐specific network analysis and prediction based on tissue‐specific transcriptome data
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The Physcomitrella patens gene atlas project: large‐scale RNA‐seq based expression data
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Exploiting proteomic data for genome annotation and gene model validation in Aspergillus niger
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Genome Data Provides High Support for Generic Boundaries in Burkholderia Sensu Lato
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Gene Context Analysis in the Integrated Microbial Genomes (IMG) Data Management System
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MycoCosm, the JGI’s Fungal Genome Portal for Comparative Genomic and Multiomics Data Analyses
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The IMG/M data management and analysis system v.7: content updates and new features.
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Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data
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