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

DOI PDF 9 Citations
  • Milot Mirdita
    Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
  • Martin Steinegger
    Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
  • Johannes Söding
    Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
  • John Hancock
    editor

Search this article

Description

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Summary</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>The app is easy to install for non-experts. GPLv3-licensed code, pre-built desktop app packages for Windows, MacOS and Linux, Docker images for the web server application and a demo web server are available at https://search.mmseqs.com.</jats:p> </jats:sec> <jats:sec> <jats:title>Supplementary information</jats:title> <jats:p>Supplementary data are available at Bioinformatics online.</jats:p> </jats:sec>

Journal

  • Bioinformatics

    Bioinformatics 35 (16), 2856-2858, 2019-01-07

    Oxford University Press (OUP)

Citations (9)*help

See more

Details 詳細情報について

Report a problem

Back to top