decRiPPter

Integration of machine learning and pan-genomics expands the biosynthetic landscape of RiPP natural products. decRiPPter (Data-driven Exploratory Class-independent RiPP TrackER). Alexander M. Kloosterman, Peter Cimermancic, Somayah S. Elsayed, Chao Du, Michalis Hadjithomas, Mohamed S. Donia, Michael A. Fischbach, Gilles P. van Wezel, and Marnix H. Medema. decRiPPter is a genome mining tool for detection of novel biosynthetic gene clusters (BGCs) of ribosomally synthesized and post-translationally modified peptides (RiPPs). Number of operons with antismash overlap. Nr of operons with known RiPP domains.