YAMP: a containerized workflow enabling reproducibility in metagenomics research

Gigascience. 2018 Jul 1;7(7):giy072. doi: 10.1093/gigascience/giy072.

Abstract

YAMP ("Yet Another Metagenomics Pipeline") is a user-friendly workflow that enables the analysis of whole shotgun metagenomic data while using containerization to ensure computational reproducibility and facilitate collaborative research. YAMP can be executed on any UNIX-like system and offers seamless support for multiple job schedulers as well as for the Amazon AWS cloud. Although YAMP was developed to be ready to use by nonexperts, bioinformaticians will appreciate its flexibility, modularization, and simple customization.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • Computer Simulation
  • Humans
  • Internet
  • Metagenomics / methods*
  • Reproducibility of Results
  • Software
  • Workflow*