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Machine learning improves genome quality prediction across the microbial tree of life

CheckM2 is a tool that applies machine learning to evaluate the quality of genomes from metagenomic data. CheckM2 is faster and more accurate than existing methods, and it outperforms them when applied to novel lineages and lineages with reduced genome sizes, such as Patescibacteria and the DPANN superphylum.

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Fig. 1: Genome quality predictions of CheckM2 compared to CheckM1.


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This is a summary of: Chklovski, A., Parks, D. H., Woodcroft, B. J. & Tyson, G. W. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning. Nat. Methods (2023).

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Machine learning improves genome quality prediction across the microbial tree of life. Nat Methods 20, 1137–1138 (2023).

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