YAMP: a containerised workflow enabling reproducibility in metagenomics research

TY - JOUR

T1 - YAMP

T2 - a containerised workflow enabling reproducibility in metagenomics research

AU - Visconti, Alessia

AU - Martin, Tiphaine C.

AU - Falchi, Mario

PY - 2018/7

Y1 - 2018/7

N2 - YAMP is a user-friendly workflow that enables the analysis of whole shotgun metagenomic data while using containerisation 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 Amazon AWS cloud. Although YAMP has been developed to be ready-to-use by non-experts, bioinformaticians will appreciate its flexibility, modularisation, and simple customisation. The YAMP script, parameters, and documentation are available at https://github.com/alesssia/YAMP.

AB - YAMP is a user-friendly workflow that enables the analysis of whole shotgun metagenomic data while using containerisation 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 Amazon AWS cloud. Although YAMP has been developed to be ready-to-use by non-experts, bioinformaticians will appreciate its flexibility, modularisation, and simple customisation. The YAMP script, parameters, and documentation are available at https://github.com/alesssia/YAMP.

U2 - 10.1093/gigascience/giy072

DO - 10.1093/gigascience/giy072

M3 - Article

C2 - 29917068

SN - 2047-217X

JO - Gigascience

JF - Gigascience

ER -