Article

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

2023-09-29

Abstract excerpt

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 limitations, we have introduc...

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Literature Corpus work: 042e273e-d0e6-5f01-b79c-296913f89188
DOI: 10.1101/2023.09.27.559668

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