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Efficient estimation of emission probabilities in profile hidden Markov models.

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Author

Summary, in English

Profile hidden Markov models provide a sensitive method for performing sequence database search and aligning multiple sequences. One of the drawbacks of the hidden Markov model is that the conserved amino acids are not emphasized, but signal and noise are treated equally. For this reason, the number of estimated emission parameters is often enormous. Focusing the analysis on conserved residues only should increase the accuracy of sequence database search.

Publishing year

2003

Language

English

Pages

2359-2368

Publication/Series

Bioinformatics

Volume

19

Issue

18

Document type

Journal article

Publisher

Oxford University Press

Topic

  • Bioinformatics and Systems Biology

Keywords

  • Sequence Alignment: methods
  • Proteins: classification
  • Proteins: chemistry
  • Enzymes: classification
  • Enzymes: chemistry
  • Amino Acids: chemistry
  • Amino Acids: classification
  • Sequence Analysis
  • Protein: methods

Status

Published

ISBN/ISSN/Other

  • ISSN: 1367-4803