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

  • Alexander M. Kloosterman (Creator)
  • Peter Cimermancic (Creator)
  • Somayah S. Elsayed (Creator)
  • Chao Du (Creator)
  • Michalis Hadjithomas (Creator)
  • Mohamed S. Donia (Creator)
  • Gilles P. Van Wezel (Creator)
  • Marnix Medema (Creator)

Dataset

Description

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.
Date made available19 May 2020
PublisherLeiden University

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