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1. decRiPPter datasets - Integration of machine learning and pan-genomics expands the biosynthetic landscape of RiPP natural products

Author

Kloosterman, Alexander M., Cimermancic, Peter, Elsayed, Somayah S., Du, Chao, Hadjithomas, Michalis, Donia, Mohamed S., van Wezel, Gilles P., and Medema, Marnix H.

Subjects
Natural products, Bioinformatics, Bioinformatica, genome mining, RiPP, decRiPPter, Biosynthetic gene cluster
Abstract

Datasets for decRiPPter, a genome mining tool for novel types of ribosomally synthesized and post-translationally modified peptides (RiPPs). 1) All training data for the SVM and the scripts used to generate them, 2) The output from the analysis of 1,295 Streptomyces genomes, passed through the 'mild' and the 'strict' filter.&nbsp

Published
2020
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