De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee
De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Computational analysis of host-associated microbiomes has opened the door to numerous discoveries relevant to human health and disease. However, contaminant sequences in metagenomic samples can potentially impact the interpretation of findings reported in microbiome studies, especially in low-biomass environments. Contamination from DNA extraction...
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Full title
De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee
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TN_cdi_doaj_primary_oai_doaj_org_article_b0c2ddaf39714c43a59d88919f452807
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b0c2ddaf39714c43a59d88919f452807
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-022-34409-z
