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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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Title: Simulation of 69 microbial communities indicates sequencing depth and false positives are major drivers of bias in prokaryotic metagenome-assembled genome recovery.
Authors: Rocha, Ulisses1 (AUTHOR) ulisses.rocha@ufz.de, Kasmanas, Jonas Coelho1 (AUTHOR), Toscan, Rodolfo1 (AUTHOR), Sanches, Danilo S.2 (AUTHOR), Magnusdottir, Stefania1 (AUTHOR), Saraiva, Joao Pedro1 (AUTHOR) ulisses.rocha@ufz.de
Source: PLoS Computational Biology. 10/22/2024, Vol. 20 Issue 10, p1-27. 27p.
Database: Academic Search Ultimate
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An: 180412036
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  Data: 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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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 10/22/2024, Vol. 20 Issue 10, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180412036
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        Value: 10.1371/journal.pcbi.1012530
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        Text: English
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      – TitleFull: 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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              Text: 10/22/2024
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              Y: 2024
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