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Mitigation and detection of putative microbial contaminant reads from long-read metagenomic datasets

2024-12-01

Abstract excerpt

Metagenomic sequencing of clinical samples has significantly enhanced our understanding of microbial communities. However, microbial contamination and host-derived DNA remain a major obstacle to accurate data interpretation. Here, we present a methodology called ‘Stop-Check-Go’ for detecting and mitigating contaminants in metagenomic datasets obtained from neonatal patient samples (nasal and rectal swabs). This me...

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Literature Corpus work
af5da236-6349-5b37-926a-baf60845b687
DOI
10.1101/2024.11.26.625374
Open publication

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Mitigation and detection of putative microbial contaminant reads from long-read metagenomic datasetsDOI 10.1101/2024.11.26.625374
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