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A genetic algorithm for multiple molecular sequence alignment
Author(s) -
Ching Zhang,
Andrew K. C. Wong
Publication year - 1997
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/13.6.565
Subject(s) - multiple sequence alignment , sequence (biology) , computer science , alignment free sequence analysis , pairwise comparison , sequence alignment , algorithm , dynamic programming , genetic algorithm , unix , computational complexity theory , genetic programming , theoretical computer science , artificial intelligence , machine learning , software , biology , genetics , programming language , gene , peptide sequence
Multiple molecular sequence alignment is among the most important and most challenging tasks in computational biology. The currently used alignment techniques are characterized by great computational complexity, which prevents their wider use. This research is aimed at developing a new technique for efficient multiple sequence alignment.

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