Efficient estimation of emission probabilities in profile hidden Markov models.

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.

• Författare: Virpi Ahola; Tero Aittokallio; Esa Uusipaikka; Mauno Vihinen
• Publiceringsår: 2003
• Språk: Engelska
• Sidor: 2359-2368
• Publikation/Tidskrift/Serie: Bioinformatics
• Volym: 19
• Issue: 18
• Länkar: http://www.ncbi.nlm.nih.gov/pubmed/14668219?dopt=Abstract
• Dokumenttyp: Artikel i tidskrift
• Förlag: Oxford University Press
• Ämne: Bioinformatics and Systems Biology
• Nyckelord: 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/Övrigt: ISSN: 1367-4803