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has been cited by the following article:
TITLE: A novel genetic approach for optimized biological sequence alignment
AUTHORS: Gautam Garai, Biswanath Chowdhury
KEYWORDS: Sequence Alignment; DNA; Protein; Genetic Algorithm; Computational Biology
JOURNAL NAME: Journal of Biophysical Chemistry, Vol.3 No.2, May 29, 2012
ABSTRACT: Biological sequence alignment is one of the most important problems in computational biology. The objective of the alignment process is to maximize the alignment score between two given sequences of varying or equal length. The alignment score of two sequences is calculated based on matches, mismatches and gaps in the alignment. We have proposed a new genetic approach for finding optimized match between two DNA or protein sequences. The process is compared with two well known relevant sequence alignment techniques.