DocumentCode :
3787376
Title :
Maximum-scoring segment sets
Author :
M. Csuros
Author_Institution :
Dept. d´informatique et de recherche operationnelle, Montreal Univ., Que., Canada
Volume :
1
Issue :
4
fYear :
2004
Firstpage :
139
Lastpage :
150
Abstract :
We examine the problem of finding maximum-scoring sets of disjoint segments in a sequence of scores. The problem arises in DNA and protein segmentation and in postprocessing of sequence alignments. Our key result states a simple recursive relationship between maximum-scoring segment sets. The statement leads to fast algorithms for finding such segment sets. We apply our methods to the identification of noncoding RNA genes in thermophiles
Keywords :
"Sequences","DNA","Proteins","RNA","Maximum likelihood estimation","Hidden Markov models","Upper bound","Genomics","Bioinformatics","Merging"
Journal_Title :
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2004.43
Filename :
1388179
Link To Document :
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