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- Title
Semi Global Pairwise Sequence Alignment Using New Chromosome Structure Genetic Algorithm.
- Authors
Pujari, Jeevana Jyothi; Kanadam, Karteeka Pavan
- Abstract
Biological sequence alignment is a prominent and eminent task in the analysis of biological data. This paper proposes a pair wise semi global sequence alignment technique using New Chromosome Structure based Genetic algorithm (NCSGA) for aligning sequences by automatically detecting optimal number of gaps and their positions to explore the optimal score for DNA or protein sequences. The experimental results are conducted using simulated real datasets from NCBI. The proposed method can be tested on real data sets of nucleotide sequence pairs. The computational results show that NCSGA produces the near optimal solutions for semi global alignment compared to other existing approaches.
- Publication
Ingénierie des Systèmes d'Information, 2022, Vol 27, Issue 1, p67
- ISSN
1633-1311
- Publication type
Academic Journal
- DOI
10.18280/isi.270108