Combining phylogenetic and hidden Markov models in biosequence analysis

Journal of Computational Biology

Volumn 11, Issue 2-3, 2004, Pages 413-428

  Siepel, Adam ^a   Haussler, David ^a,b  

^a University of California Santa Cruz   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Context dependent substitution; Gene prediction; Hidden Markov models; Maximum likelihood; Phylogenetic models

Indexed keywords

CONFERENCE PAPER; CORRELATION ANALYSIS; GENOME; HISTORY OF MEDICINE; HUMAN; MOLECULAR EVOLUTION; PHYLOGENY; PRIORITY JOURNAL; PROBABILITY; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS;

COMPUTATIONAL BIOLOGY; GENOMICS; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; PHYLOGENY; SEQUENCE ANALYSIS, DNA; SEQUENCE ANALYSIS, PROTEIN;

EID: 1542537849     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/1066527041410472     Document Type: Conference Paper

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