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SemiBin: Incorporating information from reference genomes with semi-supervised deep learning leads to better metagenomic assembled genomes (MAGs)

2021-08-16

Abstract excerpt

<h4>ABSTRACT</h4> Metagenomic binning is the step in building metagenome-assembled genomes (MAGs) when sequences predicted to originate from the same genome are automatically grouped together. The most widely-used methods for binning are reference-independent, operating de novo and allow the recovery of genomes from previously unsampled clades. However, they do not leverage the knowledge in existing databases. H...

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Literature Corpus work
ea09cada-a519-552d-9fac-ab18e2101d2f
DOI
10.1101/2021.08.16.456517
Open publication

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SemiBin: Incorporating information from reference genomes with semi-supervised deep learning leads to better metagenomic assembled genomes (MAGs)DOI 10.1101/2021.08.16.456517
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