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DOE OSTI · code-108451

MetaBAT-LR v1.0.0

Abstract

MetaBAT-LR is an extension to the metaBAT program, which adds functionalities to leverage various datasets (long-reads, Hi-C) to improve the completeness of metagenome binning while keeping contamination levels low. It trains a random forest model using the self-supervised training paradigm to predict linkage information among metagenome scaffolds, then uses this information to recruit unbinned scaffolds and merge incomplete bins that are from the same species.

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BibTeXRIS

Wang, Zhong, Ho, Harrison. 2023-06-14. MetaBAT-LR v1.0.0. https://doi.org/10.11578/dc.20230615.2

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