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Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data

2024-10-23

Abstract excerpt

<title>Abstract</title> <p>As next-generation sequencing technologies produce deeper genome coverages at lower costs, there is a critical need for reliable computational host DNA removal in metagenomic data. We find that insufficient host filtration using prior human genome references can introduce false sex biases and inadvertently permit flow-through of host-specific DNA during bioinformatic analyses, which cou...

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Literature Corpus work
62e87717-be78-5de6-8e93-6cff66ad74f8
DOI
10.21203/rs.3.rs-4721159/v1
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Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic dataDOI 10.21203/rs.3.rs-4721159/v1
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