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MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs)

MOTIVATION: Metagenomics is a powerful tool for assaying the DNA from every genome present in an environment. Recent advances in bioinformatics have enabled the rapid assembly of near-complete metagenome-assembled genomes (MAGs), and there is a need for reproducible pipelines that can annotate and c...

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Detalles Bibliográficos
Autores principales: Stewart, Robert D, Auffret, Marc D, Snelling, Timothy J, Roehe, Rainer, Watson, Mick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581432/
https://www.ncbi.nlm.nih.gov/pubmed/30418481
http://dx.doi.org/10.1093/bioinformatics/bty905
Descripción
Sumario:MOTIVATION: Metagenomics is a powerful tool for assaying the DNA from every genome present in an environment. Recent advances in bioinformatics have enabled the rapid assembly of near-complete metagenome-assembled genomes (MAGs), and there is a need for reproducible pipelines that can annotate and characterize thousands of genomes simultaneously, to enable identification and functional characterization. RESULTS: Here we present MAGpy, a scalable and reproducible pipeline that takes multiple genome assemblies as FASTA and compares them to several public databases, checks quality, suggests a taxonomy and draws a phylogenetic tree. AVAILABILITY AND IMPLEMENTATION: MAGpy is available on github: https://github.com/WatsonLab/MAGpy. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.