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… learning for metagenomic data.  Metagenomic data, or DNA sequencing data gathered from whole samples rather than … capitalize on these kinds of abilities by applying them to sequencing data. At the workshop, Volkan Sevim, a … Deep learning algorithms can vectorize faces… … so, why not proteins?         … The U.S. Department of Energy …

UC Berkeley plant biologist Sabeeha Merchant explains why she works on this alga, how researchers managed to …

… our tools with a widening circle of researchers. That’s why twice each year we look for novel research projects — …

… our tools with a widening circle of researchers. That’s why each year we look for novel research projects — aligned …

… that allow us to select specific uncultivated microbes for sequencing based on their level of metabolic activity …

… insights on crop improvements at a genetic level, including why having multiple copies of their genomes (polyploidy) is … their genomes were “remarkably” stable. “We thought we were sequencing the same genome multiple times,” Schmutz … and cleanup. The JGI provides integrated high-throughput sequencing and computational analysis that enable …

… different areas, beyond the project’s initial scope. Sequencing and culturing this vast collection of rumen … rumen microbes are awesome and this is just another example why.” …

… impressive environmental and energy advantages explain why soybean is a flagship genome of the JGI’s Plant Program. … was just like rediscovering genetics, with the evolution of sequencing technologies and the evolution of …

… to adapt to changing environments. It also sheds light on why the rapid injection of mutations in a particular gene … all at once from the same environment, called metagenomes. Why? Simon Roux, who led the research team and is the head … support from the EMERGE Institute (NSF #2022070). Sequencing of the Stordalen Mire samples used herein was …

… was possibly driven by genetics, or even temperature. By sequencing the genome, researchers were able to pinpoint …