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… The Sequence to Function: Applications and Analysis for the …

… 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 …

… Lab). Using a single-cell screen, they can now identify microbes with specific functional characteristics. When they … bacterium typically found in low abundances. The Impact Microbes are known to be key contributors to the planet’s … and unknown. The challenge remains to learn more about what microbes are present in any given ecosystem—particularly …

… and have very little oxygen, which is tough on the type of microbes that break down plant matter. This means plants … Laboratory, and the HudsonAlpha Institute for Biotechnology sequenced sphagnum  genomes from plants selected by a team … and others that preferred the hollows. Those genome sequences showed not only that the sex of a sphagnum plant …

… UC Berkeley plant biologist Sabeeha Merchant explains why she works on this alga, how researchers managed to sequence its genome, and what it has to teach us about other …

… 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 …

… 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?         …