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

Cited 205 time in Web of Science Cited 222 time in Scopus
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Authors

Mirdita, Milot; Steinegger, Martin; Soeding, Johannes

Issue Date
2019-08
Publisher
Oxford University Press
Citation
Bioinformatics, Vol.35 No.16, pp.2856-2858
Abstract
A 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.
ISSN
1367-4803
URI
https://hdl.handle.net/10371/202571
DOI
https://doi.org/10.1093/bioinformatics/bty1057
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Steinegger, Martin Image

Steinegger, MartinMartin Steinegger
부교수
  • 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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