MetaGOflow: a workflow for the analysis of marine Genomic Observatories shotgun metagenomics data.

ABSTRACT:

Background

Genomic Observatories (GOs) are sites of long-term scientific study that undertake regular assessments of the genomic biodiversity. The European Marine Omics Biodiversity Observation Network (EMO BON) is a network of GOs that conduct regular biological community samplings to generate environmental and metagenomic data of microbial communities from designated marine stations around Europe. The development of an effective workflow is essential for the analysis of the EMO BON metagenomic data in a timely and reproducible manner.

Findings

Based on the established MGnify resource, we developed metaGOflow. metaGOflow supports the fast inference of taxonomic profiles from GO-derived data based on ribosomal RNA genes and their functional annotation using the raw reads. Th

SUBMITTER: Zafeiropoulos H 

PROVIDER: S-EPMC10583283 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature