Dirichlet mixtures: A method for improved detection of weak but significant protein sequence homology

Bioinformatics

Volumn 12, Issue 4, 1996, Pages 327-345

  Sjolander, Kimmen ^a   Karplus, Kevin ^a   Brown, Michael ^a   Hughey, Richard ^a   Krogh, Anders ^b   Saira Mian, I ^c   Haussler, David ^a  

^a University of California Santa Cruz   (United States)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; DENSITY; PRIORITY JOURNAL; PROBABILITY; SEQUENCE HOMOLOGY; STATISTICAL MODEL; TECHNIQUE;

ALGORITHMS; BAYES THEOREM; DATABASES, FACTUAL; EVALUATION STUDIES; MODELS, STATISTICAL; MONTE CARLO METHOD; PROBABILITY THEORY; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 0029906607     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/12.4.327     Document Type: Article

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