40 search results - page 5 / 8 » On single and multiple models of protein families for the de... |
BMCBI
2007
13 years 7 months ago
2007
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
BMCBI
2006
13 years 7 months ago
2006
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
CIBCB
2005
IEEE
14 years 1 months ago
2005
IEEE
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
BMCBI
2007
13 years 7 months ago
2007
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
RECOMB
2003
Springer
14 years 8 months ago
2003
Springer
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...