Parameterization studies for the SAM and HMMER methods of hidden Markov model generation

Proceedings of the 4th International Conference on Intelligent Systems for Molecular Biology, ISMB 1996

Volumn , Issue , 1996, Pages 155-164

  McClure, Marcella A ^a   Smith, Chris ^a   Elton, Pete ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; ARTIFICIAL INTELLIGENCE;

ACID PROTEASE; ALIGNMENT METHODS; ASPARTIC ACIDS; HIDDEN-MARKOV MODELS; MODEL GENERATION; MODELING APPROACH; MULTIPLE SEQUENCE ALIGNMENTS; PARAMETER CONSTRAINTS; VIRAL PROTEINS;

HIDDEN MARKOV MODELS;

ASPARTIC PROTEINASE; GLOBIN; PROTEIN KINASE; RIBONUCLEASE H; VIRUS PROTEIN;

ARTICLE; CHEMISTRY; COMPUTER PROGRAM; PROBABILITY; SEQUENCE ALIGNMENT;

ASPARTIC ENDOPEPTIDASES; GLOBINS; MARKOV CHAINS; PROTEIN KINASES; RIBONUCLEASE H, CALF THYMUS; SEQUENCE ALIGNMENT; SOFTWARE; VIRAL PROTEINS;

EID: 0030332516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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