IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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Prediction of Baldness of Upcoming Generation using Genetic Algorithm Crossover Mutation and Multiple Sequence Alignment, Authors : Uma Anand, Chain Singh,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 4, Issue 6, June 2016


Title:
Prediction of Baldness of Upcoming Generation using Genetic Algorithm Crossover Mutation and Multiple Sequence Alignment
Author Name:
Uma Anand, Chain Singh
Abstract:
ABSTRACT Human genetics is involved in identifying genes that lead to an increased risk of Genetic disease in certain individuals. The identification of disease susceptibility in the genes can help us to improve human health through the development of new prevention, diagnosis, and treatment strategies. In our proposed paper we are researching on baldness i.e. We are predicting that weather upcoming generation of given sequence would suffer from baldness or not. Multiple sequence alignment (MSA) is a ubiquitous downside in machine biology. Although it is np-hard to seek out associate degree best answer for associate degree capricious range of sequences, due to the importance of this problem researchers are attempting to push the boundaries of actual algorithms any. Since MSA can be solid as a classical path finding downside, it is attracting a growing number of AI researchers inquisitive about heuristic search algorithms as a challenge with actual sensible connection KEYWORDS: Genetic Algorithm, Multiple Sequence Alignment, Chromosome Information, Sequence Data, Alignment.
Cite this article:
Uma Anand, Chain Singh , " Prediction of Baldness of Upcoming Generation using Genetic Algorithm Crossover Mutation and Multiple Sequence Alignment " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 4, Issue 6, June 2016 , pp. 021-027 , ISSN 2321-5992.
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