MetaBAT-LR v1.0.0

Software · Wed Jun 14 00:00:00 EDT 2023

DOI:https://doi.org/10.11578/dc.20230615.2· OSTI ID:1985241 · Code ID:108451

Wang, Zhong ^[1]; Ho, Harrison ^[1]

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1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

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.

• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: 2023-038
• Software Type: Scientific
• License(s): BSD 3-clause "New" or "Revised" License
• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE

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  Primary Award/Contract Number:

  AC02-05CH11231
• DOE Contract Number: AC02-05CH11231
• Code ID: 108451
• OSTI ID: 1985241
• Country of Origin: United States