Simulation of 69 microbial communities indicates sequencing depth and false positives are major driv...
Simulation of 69 microbial communities indicates sequencing depth and false positives are major drivers of bias in prokaryotic metagenome-assembled genome recovery
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United States: Public Library of Science
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English
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United States: Public Library of Science
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We hypothesize that sample species abundance, sequencing depth, and taxonomic relatedness influence the recovery of metagenome-assembled genomes (MAGs). To test this hypothesis, we assessed MAG recovery in three in silico microbial communities composed of 42 species with the same richness but different sample species abundance, sequencing depth, an...
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Simulation of 69 microbial communities indicates sequencing depth and false positives are major drivers of bias in prokaryotic metagenome-assembled genome recovery
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TN_cdi_proquest_miscellaneous_3119721724
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3119721724
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1012530
