How to cite this record FAIRsharing.org: MGnify; MGnify; DOI: https://doi.org/10.25504/FAIRsharing.dxj07r; Last edited: March 15, 2019, 12:42 p.m.; Last accessed: Apr 22 2019 1:20 a.m.
Record updated: March 14, 2019, 10:05 p.m. by The FAIRsharing Team.
Before: EBI Metagenomics has now changed its name to MGnify to reflect soon to come future updates. A new website is currently being trialed. https://www.ebi.ac.uk/metagenomics/beta/  EBI Metagenome is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.
After: EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.
Before: "EBI Metagenomics" is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.
After: EBI Metagenomics has now changed its name to MGnify to reflect soon to come future updates. A new website is currently being trialed. https://www.ebi.ac.uk/metagenomics/beta/  EBI Metagenome is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.
EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies.