Open AccessAn HMM posterior decoder for sequence feature prediction that includes homology information
Author(s) -
Lukas Käll,
Anders Krogh,
Erik L. L. Sonnhammer
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti1014
Subject(s) - hidden markov model , computer science , decoding methods , sequence (biology) , pattern recognition (psychology) , topology (electrical circuits) , algorithm , homology (biology) , artificial intelligence , mathematics , biology , gene , genetics , combinatorics
When predicting sequence features like transmembrane topology, signal peptides, coil-coil structures, protein secondary structure or genes, extra support can be gained from homologs.
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