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Article

Deepurify: a multi-modal deep language model to remove contamination from metagenome-assembled genomes

2023-11-01

Abstract excerpt

<title>Abstract</title> <p>Metagenome-assembled genomes (MAGs) offer valuable insights into the exploration of microbial dark matter using metagenomic sequencing data. However, there is a growing concern that contamination in MAGs may significantly impact the downstream analysis results. Existing MAG decontamination methods heavily rely on marker genes but do not fully leverage genomic sequences. To address the l...

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Literature Corpus work
08e1c3f6-ab01-526f-b6b9-626c2365cd52
DOI
10.21203/rs.3.rs-3420465/v1
Open publication

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Deepurify: a multi-modal deep language model to remove contamination from metagenome-assembled genomesDOI 10.21203/rs.3.rs-3420465/v1
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