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… it, viruses are most likely in your system and in your data, and they’re probably influencing the microbes there,” … In 2016, Nikos Kyrpides at the JGI led a team that combed datasets from around the world, finding over 125,000 partial … its existing Integrated Microbial Genomes & Microbiomes database to include a dedicated section for viruses, so …
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… and research scientist in Nikos Kyrpides’ Microbiome Data Science group. “What makes this study really stand out … Adding Value Beyond Genome Sequences Much of the data had been generated from environmental samples … Eloe-Fadrosh noted that it was a nice example of “big-data” mining to gain a deeper understanding of the data and …
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… write reports, and publish first-author papers, making the data available for future research. Hear from Rekha Seshadri …
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Lead Dan Rokhsar, Molecular Biology & Genetics Staff Data Scientist Asaf Salamov, Plant & Animal Science category … to develop guidelines and best practices for defining virus data quality. Reported in Nature Biotechnology, the work … source, methods of identification of the virus genome, and data quality. Go here to learn more about the project. …
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… metagenomics to identify over 27,000 microbial genes. The data from that study is now used across California State …
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Czech Academy of Sciences first needed to build a detailed database on the denizens in the soil. While large protein databases, like UniProt, exist, are not specific enough for … from their soil samples. This gene expression dataset was particularly important for characterizing fungal …
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… a look at the supercomputing that stitches together large datasets with the assembler program MetaHipMer2. Oak Ridge … — Summit and Frontier — that process terabytes of data with MetaHipMer2. And the National Energy Research …
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… biology, single cell and systems biology, omics, and big data science, machine learning for experimental science, …
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… nonpolar metabolite analysis, creation of large metabolite databases by running 1000s of metabolite standards, and … custom software for integrating metabolomics with genomic data (MAGI) for functional annotation and identifying …
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