inStrain profiles population microdiversity from metagenomic data and sensitively detects shared mic...
inStrain profiles population microdiversity from metagenomic data and sensitively detects shared microbial strains
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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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Coexisting microbial cells of the same species often exhibit genetic variation that can affect phenotypes ranging from nutrient preference to pathogenicity. Here we present inStrain, a program that uses metagenomic paired reads to profile intra-population genetic diversity (microdiversity) across whole genomes and compares microbial populations in...
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inStrain profiles population microdiversity from metagenomic data and sensitively detects shared microbial strains
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TN_cdi_proquest_miscellaneous_2479038761
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2479038761
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ISSN
1087-0156,1546-1696
E-ISSN
1546-1696
DOI
10.1038/s41587-020-00797-0
