Results

Fast and accurate identification of plasmids and viruses in sequencing data using geNomad
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SoyCSN: Soybean context‐specific network analysis and prediction based on tissue‐specific transcriptome data
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Comparative and transcriptional analysis of the predicted secretome in the lignocellulose‐degrading basidiomycete fungus Pleurotus ostreatus
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Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics.
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Translating macroecological models to predict microbial establishment probability in an agricultural inoculant introduction
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Products
… The JGI has diverse capabilities in: DNA and RNA sequencing, Sample and library preparation, Biodesign and … Mass spectrometry based metabolomics Below is a table of standard product offerings, including a description of … discontinued , including smRNA, bisulfite sequencing, and ChIP-seq. …
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Mapping multi-substrate specificity of Arabidopsis aminotransferases
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Quantitative DNA Stable Isotope Probing Identifies Active Microorganisms Assimilating Volatile Fatty Acids in Full-Scale Enhanced Biological Phosphorus Removal Processes
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Seasonal enhancement of the viral shunt catalyzes a subsurface oxygen maximum in the Sargasso Sea
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Enabling pan-repository reanalysis for big data science of public metabolomics data
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You Can Move, But You Can’t Hide
… Researchers at the JGI develop a tool to quickly and accurately identify mobile genetic elements like plasmids … MGEs based upon their gene content and their genetic sequences. The software was created by researchers under the … now, most other tools have focused on identifying only specific plasmids or viruses. geNomad combines a broad …
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VPF-Class: taxonomic assignment and host prediction of uncultivated viruses based on viral protein families
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