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ISMB
1996

Parameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation

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Parameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation
Multiple sequence alignment of distantly related viral proteins remains a challenge to all currently available alignment methods. The hidden Markovmodel approach offers a new,flexible methodfor the generation of multiple sequencealignments. Theresults of studies attempting to infer appropriate parameterconstraints for the generation of de novo HMMsfor globin, kinase, aspartic acid protease, and ribonuclease H sequences by both the SAM and HMMERmethods are described.
Marcella A. McClure, Chris Smith, Pete Elton
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1996
Where ISMB
Authors Marcella A. McClure, Chris Smith, Pete Elton
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