Predicting metabolic modules in incomplete bacterial genomes with MetaPathPredict
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DOI: 10.7554/elife.85749
Abstract: The reconstruction of complete microbial metabolic pathways using ‘omics data from environmental samples remains challenging. Computational pipelines for pathway reconstruction that utilize machine learning methods to predict the presence or absence of KEGG modules in… read more here.
Keywords: presence; kegg modules; predict presence; modules incomplete ... See more keywords