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Cited by 759

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Uniclust databases of clustered and deeply annotated protein sequences and alignments

Open access
Mirdita, Milot, von den Driesch, Lars, Galiez, Clovis, Martin, Maria J., Söding, Johannes, Steinegger, Martin·2017·Nucleic Acids Research
DOI 10.1093/nar/gkw1081
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Abstract

We present three clustered protein sequence databases, Uniclust90, Uniclust50, Uniclust30 and three databases of multiple sequence alignments (MSAs), Uniboost10, Uniboost20 and Uniboost30, as a resource for protein sequence analysis, function prediction and sequence searches. The Uniclust databases cluster UniProtKB sequences at the level of 90%, 50% and 30% pairwise sequence identity. Uniclust90 and Uniclust50 clusters showed better consistency of functional annotation than those of UniRef90 and UniRef50, owing to an optimised clustering pipeline that runs with our MMseqs2 software for fast and sensitive protein sequence searching and clustering. Uniclust sequences are annotated with matches to Pfam, SCOP domains, and proteins in the PDB, using our HHblits homology detection tool. Due to its high sensitivity, Uniclust contains 17% more Pfam domain annotations than UniProt. Uniboost MSAs of three diversities are built by enriching the Uniclust30 MSAs with local sequence matches from MMseqs2 profile searches through Uniclust30. All databases can be downloaded from the Uniclust server at uniclust.mmseqs.com. Users can search clusters by keywords and explore their MSAs, taxonomic representation, and annotations. Uniclust is updated every two months with the new UniProt release.

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Items 101–104 of 104

Metadata

Authors
Mirdita, M., von den Driesch, L., Galiez, C., Martin, M. J., Söding, J., & Steinegger, M.
Venue
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Published
2016-11-28
Volume
45
Issue
D1
Pages
D170-D176
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
DOI
10.1093/nar/gkw1081
OpenAlex
W2557595285
Cited by
759
References
4
FWCI
6.17
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor, 4 d)

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