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MMseqs2 desktop and local web server app for fast, interactive sequence searches

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dc.contributor.authorMirdita, Milot-
dc.contributor.authorSteinegger, Martin-
dc.contributor.authorSoeding, Johannes-
dc.date.accessioned2024-05-16T01:28:47Z-
dc.date.available2024-05-16T01:28:47Z-
dc.date.created2020-03-26-
dc.date.created2020-03-26-
dc.date.issued2019-08-
dc.identifier.citationBioinformatics, Vol.35 No.16, pp.2856-2858-
dc.identifier.issn1367-4803-
dc.identifier.urihttps://hdl.handle.net/10371/202571-
dc.description.abstractA Summary: The MMseqs2 desktop and web server app facilitates interactive sequence searches through custom protein sequence and profile databases on personal workstations. By eliminating MMseqs2's runtime overhead, we reduced response times to a few seconds at sensitivities close to BLAST.-
dc.language영어-
dc.publisherOxford University Press-
dc.titleMMseqs2 desktop and local web server app for fast, interactive sequence searches-
dc.typeArticle-
dc.identifier.doi10.1093/bioinformatics/bty1057-
dc.citation.journaltitleBioinformatics-
dc.identifier.wosid000487292100023-
dc.identifier.scopusid2-s2.0-85071280607-
dc.citation.endpage2858-
dc.citation.number16-
dc.citation.startpage2856-
dc.citation.volume35-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorSteinegger, Martin-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusPROTEIN-
dc.subject.keywordPlusDATABASES-
dc.subject.keywordPlusBLAST-
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Related Researcher

  • College of Natural Sciences
  • School of Biological Sciences
Research Area Development of algorithms to search, cluster and assemble sequence data, Metagenomic analysis, Pathogen detection in sequencing data

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