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MGnify oriented implementation for the Marine Genomic Observatories oriented pipeline, developed in the framework of an EOSC-Life funded project

View the Project on GitHub emo-bon/MetaGOflow

metaGOflow is a pipeline based on MGnify and its workflows, aiming to address the challenges of the analysis of the European Marine Omics Biodiversity Observation Network (EMO BON) data. EMO BON is a long-term omics observatory of marine biodiversity that generates hundreds of metagenomic samples periodically from a range of stations around Europe.

In the following diagram is an overview of the metaGOflow steps:

wf

Here we show visual components accompanying the metaGOflow publication. We performed all steps of metaGOflow for an EMO BON marine sediment (ERS14961254) and a water column (ERS14961281) sample. A quality control report, the taxonomic inventories as well as some of the functional annotations returned in each case are displayed below.

We also tested metaGOflow with a TARA OCEAN sample. You may find the RO-crate produced from the complete metaGOflow run for this sample through this Zenodo repository. Last, you may have a look on the ro-crate-metadata.json file that describes the RO-Crate metaGOflow built for this sample here.

metaGOflow source code: GitHub repo

Citation

In case you are using metaGOflow for your analysis, please remember to cite us:

metaGOflow: a workflow for the analysis of marine Genomic Observatories shotgun metagenomics data (to be submitted in GigaScience)

Contact

emobon@embrc.eu

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