Title :
Multiple Sequence Alignment Based on Profile HMM
Author_Institution :
Sch. of Couputer Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
Hidden Markov model used in multiple alignment is a new field of bioinformatics. Nowadays large amount of data about protein sequence structures have been obtained. Traditional methods of protein analysis are no longer used. biologists have updated their research methods with computer technology and statistics, which can deal with large amount of data. Hidden Markov model can be used to distinguish protein sequence with the same characteristics. This paper expound how to train a HMM from unaligned sequence.
Keywords :
bioinformatics; data analysis; hidden Markov models; proteins; HMM; bioinformatics; hidden Markov model; multiple sequence alignment; protein analysis; protein sequence structures; statistics; Amino acids; Biological system modeling; Computers; Hidden Markov models; Markov processes; Proteins; Hidden Markov model (HMM); Multiple sequence alignment; simulated annealing;
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
DOI :
10.1109/CSA.2013.125
