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.

• Type: Conference
• Year: 1996
• Where: ISMB
• Authors: Marcella A. McClure, Chris Smith, Pete Elton
• Keywords: Aspartic Acid Protease, Available Alignment Methods, Computational Biology, ISMB 1996, Multiple Sequence Alignment