{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Mitchell AL"],"funding":["ELIXIR","Russian Fund for Basic Research","European Molecular Biology Laboratory","Horizon 2020","Biotechnology and Biosciences Research Council","Biotechnology and Biological Sciences Research Council"],"pagination":["D570-D578"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7145632"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["48(D1)"],"pubmed_abstract":["MGnify (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the assembly, analysis and archiving of microbiome data derived from sequencing microbial populations that are present in particular environments. Over the past 2 years, MGnify (formerly EBI Metagenomics) has more than doubled the number of publicly available analysed datasets held within the resource. Recently, an updated approach to data analysis has been unveiled (version 5.0), replacing the previous single pipeline with multiple analysis pipelines that are tailored according to the input data, and that are formally described using the Common Workflow Language, enabling greater provenance, reusability, and reproducibility. MGnify's new analysis pipelines offer additional approaches for taxonomic assertions ba"],"journal":["Nucleic acids research"],"pubmed_title":["MGnify: the microbiome analysis resource in 2020."],"pmcid":["PMC7145632"],"funding_grant_id":["676559","18-54-74004","BB/N018354/1","BB/R015228/1","817729","BB/M011755/1","BB/I02612X/1"],"pubmed_authors":["Kale V","Sakharova E","Beracochea M","Mitchell AL","Richardson LJ","Potter SC","Cochrane G","Kunyavskaya O","Finn RD","Korobeynikov A","Almeida A","Boland M","Crusoe MR","Lapidus A","Scheremetjew M","Burgin J","Shlemov A"],"additional_accession":[]},"is_claimable":false,"name":"MGnify: the microbiome analysis resource in 2020.","description":"MGnify (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the assembly, analysis and archiving of microbiome data derived from sequencing microbial populations that are present in particular environments. Over the past 2 years, MGnify (formerly EBI Metagenomics) has more than doubled the number of publicly available analysed datasets held within the resource. Recently, an updated approach to data analysis has been unveiled (version 5.0), replacing the previous single pipeline with multiple analysis pipelines that are tailored according to the input data, and that are formally described using the Common Workflow Language, enabling greater provenance, reusability, and reproducibility. MGnify's new analysis pipelines offer additional approaches for taxonomic assertions ba","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jan","modification":"2026-05-03T07:35:24.438Z","creation":"2025-05-29T21:26:31.322Z"},"accession":"S-EPMC7145632","cross_references":{"pubmed":["31696235"],"doi":["10.1093/nar/gkz1035"]}}