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… deep learning for metagenomic data.  Metagenomic data, or DNA sequencing data gathered from whole samples rather than … insights from metagenomic data. In deep learning, a branch of machine learning, data is passed through algorithms … of Rhode Island), and to bin metagenomic contigs (inferred chromosomal sequences in mixed-genome samples) with a new …

… most harvested crop by tonnage, sugarcane accounts for 80% of global sugar production. A reference genome for the … 80% of sugar production worldwide, but has one of the most complex genetic blueprints. Assembling a genome has been … partly enabled by the JGI’s Community Science Program; in 2018, a monoploid reference sequence of sugarcane …

In late June, Kathleen Lail, a member of JGI’s Sample Management Group, attended a conference in … much data and a lack of experience, this added a layer of complexity to the project for figuring out how to bring this … and organic carbon concentration. From Field Studies to Publication Together as a class, the students learned about …