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Identification of Deleterious SNPs in TACR1 Gene Using Genetic Algorithm

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSFOMEBI)


Bioinformatics is a specific research and development area. The purpose of bioinformatics mainly deals with data mining and the relationships and patterns in large databases to provide useful information analysis and diagnosis. Single nucleotide polymorphisms (SNP) are one of the major causes of genetic diseases. Identification of disease-causing SNPs can identify better disease diagnosis. Hence, the present study aims at the identification of deleterious SNPs in TACR1 gene. Developing an algorithm plays a vital role in computational intelligence techniques. In this paper, a genetic algorithm (GA) approach is to develop rules and it is presented. The importance of the accuracy, sensitivity, specificity, and comprehensibility of the rules is simplified for the implementation of a GA. The outline of encoding and genetic operators and fitness function of GA are discussed. GA is using to identify deleterious or damaged SNPs.


  • SNPs in TACR1
  • Computational intelligence technique
  • Fitness function
  • Genetic algorithm

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  • DOI: 10.1007/978-981-287-338-5_7
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Correspondence to Dharmaiah Devarapalli .

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Devarapalli, D., Anusha, C., Srikanth, P. (2015). Identification of Deleterious SNPs in TACR1 Gene Using Genetic Algorithm. In: Muppalaneni, N., Gunjan, V. (eds) Computational Intelligence Techniques for Comparative Genomics. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore.

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  • Print ISBN: 978-981-287-337-8

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