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Experimental study & analysis of genetic operators for alignment of multiple biological sequences

Publication ,  Conference
Gupta, P; Agarwal, P
Published in: Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015
July 22, 2015

This paper presents an experimental work to observe the effect of various genetic algorithm (GA) operators for alignment of multiple biological sequences which is a classical NP complete problem popularly known as multiple sequence alignment (MSA) problem with its application area in computational molecular biology. We have tried to solve the problem by varying various GA parameters in multiple ways and observed the effect of these on alignment. It is to be noted that the purpose of the presented work is not at all to propose an efficient GA based method for solving MSA problem but just to observe the effect of varying GA parameters. The proposed observations can surely help those who wish to apply GA method to solve the MSA problem by choosing the correct operators & parameters.

Published In

Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015

DOI

ISBN

9781467369114

Publication Date

July 22, 2015

Start / End Page

643 / 648
 

Citation

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Gupta, P., & Agarwal, P. (2015). Experimental study & analysis of genetic operators for alignment of multiple biological sequences. In Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015 (pp. 643–648). https://doi.org/10.1109/ICACEA.2015.7164770
Gupta, P., and P. Agarwal. “Experimental study & analysis of genetic operators for alignment of multiple biological sequences.” In Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015, 643–48, 2015. https://doi.org/10.1109/ICACEA.2015.7164770.
Gupta P, Agarwal P. Experimental study & analysis of genetic operators for alignment of multiple biological sequences. In: Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015. 2015. p. 643–8.
Gupta, P., and P. Agarwal. “Experimental study & analysis of genetic operators for alignment of multiple biological sequences.” Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015, 2015, pp. 643–48. Scopus, doi:10.1109/ICACEA.2015.7164770.
Gupta P, Agarwal P. Experimental study & analysis of genetic operators for alignment of multiple biological sequences. Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015. 2015. p. 643–648.

Published In

Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015

DOI

ISBN

9781467369114

Publication Date

July 22, 2015

Start / End Page

643 / 648