FAIRyMAGS – Optimising Metagenomics Assembled Genomes building: workflow finalisation, training material development, real data evaluation, and resource allocation tool creation
Résumé
The FAIRyMAGs project aims to optimize metagenomics assembled genomes (MAGs) building by developing an end-to-end workflow through Galaxy, incorporating FAIR principles. The project addresses challenges in metagenomics research, including technically demanding workflows and high computational requirements, and will provide a reusable and accessible workflow for analyzing microbial communities. The project's objectives include finalizing the workflow, creating training materials, evaluating its performance on real data, and developing a tool for estimating resource allocation, with the goal of advancing scientific knowledge and supporting decision-making in biodiversity conservation, food security, and pathogen management.
Domaines
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
| Licence |