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Sequencing depth overcomes extraction bias: repurposing human WGS data for salivary microbiome profiling

2026-04-01

Abstract excerpt

Large-scale human genomic projects have generated whole-genome sequencing (WGS) data from hundreds of thousands of individuals, primarily to study host genetic variation. When saliva is the DNA source, the resulting datasets also contain microbial reads that are routinely discarded. Here, we investigate whether these host-centric WGS workflows can yield reliable microbiome profiles, effectively doubling the resear...

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Literature Corpus work
f0caa5f4-1495-5d67-8f40-8b4c93d26b86
DOI
10.64898/2026.03.27.714786
Open publication

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Sequencing depth overcomes extraction bias: repurposing human WGS data for salivary microbiome profilingDOI 10.64898/2026.03.27.714786
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