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 characterise thousands of genomes simultaneously, to enable identification and functional characterisation.
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: MAGpy is available on github: https://github.com/WatsonLab/MAGpy.
Supplementary information: Supplementary data are available at Bioinformatics online.
|Number of pages||3|
|Early online date||10 Nov 2018|
|Publication status||Print publication - Jun 2019|