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MGnify: the microbiome analysis resource in 2020.
Mitchell, Alex L; Almeida, Alexandre; Beracochea, Martin; Boland, Miguel; Burgin, Josephine; Cochrane, Guy; Crusoe, Michael R; Kale, Varsha; Potter, Simon C; Richardson, Lorna J; Sakharova, Ekaterina; Scheremetjew, Maxim; Korobeynikov, Anton; Shlemov, Alex; Kunyavskaya, Olga; Lapidus, Alla; Finn, Robert D.
Afiliação
  • Mitchell AL; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Almeida A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Beracochea M; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
  • Boland M; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Burgin J; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Cochrane G; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Crusoe MR; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Kale V; Common Workflow Language, a project of the Software Freedom Conservancy, Inc. 137 Montague Street, Suite 380, Brooklyn, NY 11201-3548, USA.
  • Potter SC; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Richardson LJ; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Sakharova E; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Scheremetjew M; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Korobeynikov A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Shlemov A; Center for Algorithmic Biotechnologies, Saint Petersburg State University, Russia.
  • Kunyavskaya O; Center for Algorithmic Biotechnologies, Saint Petersburg State University, Russia.
  • Lapidus A; Center for Algorithmic Biotechnologies, Saint Petersburg State University, Russia.
  • Finn RD; Center for Algorithmic Biotechnologies, Saint Petersburg State University, Russia.
Nucleic Acids Res ; 48(D1): D570-D578, 2020 01 08.
Article em En | MEDLINE | ID: mdl-31696235
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 based on ribosomal internal transcribed spacer regions (ITS1/2) and expanded protein functional annotations. Biochemical pathways and systems predictions have also been added for assembled contigs. MGnify's growing focus on the assembly of metagenomic data has also seen the number of datasets it has assembled and analysed increase six-fold. The non-redundant protein database constructed from the proteins encoded by these assemblies now exceeds 1 billion sequences. Meanwhile, a newly developed contig viewer provides fine-grained visualisation of the assembled contigs and their enriched annotations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Metagenoma / Microbiota Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Metagenoma / Microbiota Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido