Title :
A novel pairwise sequence matching technique with genetic algorithm
Author :
Garai, Gautam ; Chowdhury, Badrul
Author_Institution :
Comput. Sc. Div., Saha Inst. of Nucl. Phys., Kolkata, India
fDate :
Nov. 30 2012-Dec. 1 2012
Abstract :
The active research of sequence alignment in the field of Bioinformatics plays an important role in molecular sequence analysis. In cases of pairwise as well as multi-sequence alignment, the objective is to maximize the similarities between the sequences which constitute of residues i.e. nucleotides for DNA/RNA and amino acids for proteins. We have proposed an efficient genetic algorithm based optimized sequence matching method for finding match between two DNA sequences. The process is compared with relevant pairwise sequence alignment techniques.
Keywords :
bioinformatics; genetic algorithms; pattern matching; proteins; DNA nucleotides; RNA nucleotides; active research; amino acids; bioinformatics; genetic algorithm; molecular sequence analysis; multisequence alignment; novel pairwise sequence matching technique; proteins; sequence alignment; Bioinformatics; DNA; Databases; Genetic algorithms; RNA; Sociology; Statistics; Bioinformatics; DNA; Genetic Algorithm; Sequence alignment;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-1828-0
DOI :
10.1109/EAIT.2012.6407862
