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So in 2010, the JGI helped publish the original genome sequence for the soybean, Glycine max. With a full genome sequence, researchers have been able to look into soybean’s …

… culture-disconnected. Like we’ll take some soil samples and sequence all the bugs out of that or whatever. And so I was … that is often done, where we’re really just looking at DNA sequences, and we don’t always know necessarily or pay … methicillin-resistant Staphylococcus aureus . Can you share why finding treatments for these microbes is so important? …

… of microbial communities based on their metagenome sequence, in the context of reference isolate genomes … of fungi. Mycocosm enables users to navigate across sequenced fungal genomes, and to conduct comparative and … resource hub that provides access to publicly available sequenced algal genomes and genome annotations generated by …

Program aims to generate large datasets to explore sequence-function relationships, advancing the discovery of … Science Group supports researchers exploring how to convert sequence into functional assessments. The team has a … of fungi. Mycocosm enables users to navigate across sequenced fungal genomes, and to conduct comparative and …

The Sequence to Function: Applications and Analysis for the …

… impressive environmental and energy advantages explain why soybean is a flagship genome of the JGI’s Plant Program. … first legume species with a published complete draft genome sequence. At the time, the vital global source of both … of seed oils as biofuel. After analyzing the original sequence, Gary Stacey of the University of Missouri said he …

… with a view to developing a deeper understanding of sequence-based gene function. … B.Sc. (HONS) – University of … tool for targeted and genome-scale gRNA design and sequence extraction for prokaryotes and eukaryotes. … . 14: 1, 22-28. 2016 Blaby et. al., Genome‐wide analysis on Chlamydomonas reinhardtii reveals the impact of hydrogen …

… of proteins in order to conduct more efficient protein sequence alignments. He also aims to detect structural similarities in proteins that low sequence identity may belie. The technology he’s using is … Deep learning algorithms can vectorize faces… … so, why not proteins?         … The U.S. Department of Energy …

… of SAR324 cells and their gene expression, the team then sequenced community genomes and expressed gene transcripts … ecotypes because, historically, they have used the sequence of a “marker gene,” namely the 16S ribosomal RNA … bioinformatics tools designed for analysis of DNA and RNA sequence data.  … Datasets … BBTools …