MVP: a modular viromics pipeline to identify, filter, cluster, annotate, and bin viruses from metagenomes.

ABSTRACT: While numerous computational frameworks and workflows are available for recovering prokaryote and eukaryote genomes from metagenome data, only a limited number of pipelines are designed specifically for viromics analysis. With many viromics tools developed in the last few years alone, it can be challenging for scientists with limited bioinformatics experience to easily recover, evaluate quality, annotate genes, dereplicate, assign taxonomy, and calculate relative abundance and coverage of viral genomes using state-of-the-art methods and standards. Here, we describe Modular Viromics Pipeline (MVP) v.1.0, a user-friendly pipeline written in Python and providing a simple framework to perform standard viromics analyses. MVP combines multiple tools to enable viral genome identification, charact

SUBMITTER: Coclet C 

PROVIDER: S-EPMC11498083 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature