About MGnify

The MGnify resource

Microbiome research involves the study of all genomes present within a specific environment. The approach can provide unique insights into the complex processes performed by environmental micro-organisms and their relationship to their surroundings, to each other, and, in some cases, to their host.

MGnify offers an automated pipeline for the analysis and archiving of microbiome data to help determine the taxonomic diversity and functional & metabolic potential of environmental samples. Users can submit their own data for analysis or freely browse all of the analysed public datasets held within the repository. In addition, users can request analysis of any appropriate dataset within the European Nucleotide Archive (ENA). User-submitted or ENA-derived datasets can also be assembled on request, prior to analysis.

Staying informed

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Cite us

To cite MGnify, please refer to the following publication:

Alex L. Mitchell, Maxim Scheremetjew, Hubert Denise, Simon Potter, Aleksandra Tarkowska, Matloob Qureshi, Gustavo A. Salazar, Sebastien Pesseat, Miguel A. Boland, Fiona M. I. Hunter, Petra ten Hoopen, Blaise Alako, Clara Amid, Darren J. Wilkinson, Thomas P. Curtis, Guy Cochrane, Robert D. Finn (2017).
EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies. Nucleic Acids Research (2017) doi: 10.1093/nar/gkx967
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The MGnify resource is supported by the Biotechnology and Biological Sciences Research Council (BBSRC) [grant references BB/M011755/1 and BB/N018354/1]], the European Commission within the Research Infrastructures programme of Horizon 2020 [grant agreement number 676559] (ELIXIR-EXCELERATE) and InnovateUK (project reference 102513). Funding for open access charge: Research Councils UK (RCUK).

EMBL BBSRC Excelerate InnovateUK


The MGnify resource was initiated by funding from EMBL. It continues to be developed with support from EMBL and additional funding has been gratefully received from the Biotechnology and Biological Sciences Research Council (BBSRC grant BB/I02612X/1 and BB/M011755/1) and the EU's Seventh Framework Programme for Research (FP7 grant MICROB3).