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Keyword: protein sequence search ×Clear all

2 claims from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Genomics and Phylogenetic Studies

   Uniclust databases of clustered and deeply annotated protein sequences and alignments

   Mirdita, von den Driesch, Galiez, Martin, Söding and Steinegger · Nucleic Acids Research · 2016

   The paper presents the Uniclust protein cluster databases and Uniboost alignment databases, built from UniProtKB sequences with MMseqs2 and HHblits, as a resource for sequence analysis and function prediction.

   Unchecked2 claims
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   1. UncheckedUniclust90 and Uniclust50 protein clusters had more consistent functional annotation than UniRef90 and UniRef50, which the authors credit to their MMseqs2 pipeline.“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.”
   2. UncheckedBecause its annotation method is highly sensitive, Uniclust holds 17% more Pfam domain annotations than UniProt does.“Due to its high sensitivity, Uniclust contains 17% more Pfam domain annotations than UniProt.”