TITLE

Aligning Sequences by Minimum Description Length

AUTHOR(S)
Conery, John S.
PUB. DATE
January 2007
SOURCE
EURASIP Journal on Bioinformatics & Systems Biology;2007, p1
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents a new information theoretic framework for aligning sequences in bioinformatics. A transmitter compresses a set of sequences by constructing a regular expression that describes the regions of similarity in the sequences. To retrieve the original set of sequences, a receiver generates all strings that match the expression. An alignment algorithm uses minimum description length to encode and explore alternative expressions; the expression with the shortest encoding provides the best overall alignment. When two substrings contain letters that are similar according to a substitution matrix, a code length function based on conditional probabilities defined by the matrix will encode the substrings with fewer bits. In one experiment, alignments produced with this new method were found to be comparable to alignments from CLUSTALW. A second experiment measured the accuracy of the new method on pairwise alignments of sequences from the BAliBASE alignment benchmark.
ACCESSION #
31268434

 

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