KClust: Fast and sensitive clustering of large protein sequence databases

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Hauser, Maria ^a   Mayer, Christian E ^b,c   Söding, Johannes ^a  

^a UNIVERSITY OF MUNICH   (Germany)

^b MAX PLANCK INSTITUTE FOR DEVELOPMENTAL BIOLOGY   (Germany)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC PROGRAMMING ALGORITHM; FALSE DISCOVERY RATE; HIGH-THROUGHPUT SEQUENCING; HOMOLOGY SEARCH; PROTEIN SEQUENCE DATABASE; SEQUENCE DATABASE; SEQUENCE IDENTITY; THREE ORDERS OF MAGNITUDE;

ITERATIVE METHODS; PROTEINS;

DATABASE SYSTEMS;

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; FACTUAL DATABASE; METHODOLOGY; PROTEIN DATABASE; SEQUENCE ANALYSIS;

ALGORITHMS; CLUSTER ANALYSIS; DATABASES, FACTUAL; DATABASES, PROTEIN; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 84883410459     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-248     Document Type: Article

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