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DeepMM: Identify and correct Metagenome Misassemblies with deep learning

2025-02-08

Abstract excerpt

Accurate metagenomic assemblies are essential for constructing reliable metagenome-assembled genomes (MAGs). However, the complexity of microbial genomes continues to pose challenges for accurate assembly. Current reference-free assembly evaluation tools primarily rely on hand-crafted features and suffer from poor generalization across different metagenomic data. To address these limitations, we propose DeepMM, a...

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Literature Corpus work
908ff190-c05b-559f-afac-daa01810a8a7
DOI
10.1101/2025.02.07.637187
Open publication

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DeepMM: Identify and correct Metagenome Misassemblies with deep learningDOI 10.1101/2025.02.07.637187
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