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metaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies.

In Genome biology ; h5-index 114.0

Evaluating the quality of metagenomic assemblies is important for constructing reliable metagenome-assembled genomes and downstream analyses. Here, we present metaMIC ( https://github.com/ZhaoXM-Lab/metaMIC ), a machine learning-based tool for identifying and correcting misassemblies in metagenomic assemblies. Benchmarking results on both simulated and real datasets demonstrate that metaMIC outperforms existing tools when identifying misassembled contigs. Furthermore, metaMIC is able to localize the misassembly breakpoints, and the correction of misassemblies by splitting at misassembly breakpoints can improve downstream scaffolding and binning results.

Lai Senying, Pan Shaojun, Sun Chuqing, Coelho Luis Pedro, Chen Wei-Hua, Zhao Xing-Ming

2022-Nov-14

Binning, Metagenome-assembled genomes, Metagenomic assemblies, Misassembled contigs, Misassembly breakpoints