CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine le...
CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning
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New York: Nature Publishing Group US
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English
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New York: Nature Publishing Group US
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Advances in sequencing technologies and bioinformatics tools have dramatically increased the recovery rate of microbial genomes from metagenomic data. Assessing the quality of metagenome-assembled genomes (MAGs) is a critical step before downstream analysis. Here, we present CheckM2, an improved method of predicting genome quality of MAGs using mac...
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CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning
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TN_cdi_proquest_miscellaneous_2847747145
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2847747145
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-023-01940-w