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Title: Bio-computing approaches and tools for identification of single nucleotide polymorphisms: a comprehensive review

Authors: Neelofar Sohi; Amardeep Singh

Addresses: Department of Computer Science and Engineering, University Patiala, Punjab, India ' Department of Computer Science and Engineering, University Patiala, Punjab, India

Abstract: Single nucleotide polymorphisms (SNPs) are the most common form of genetic sequence variations. SNPs involve substitution of one nucleotide for another in the DNA sequence. SNPs play an important role in phenomenon of genetic diversity, evolution of species, trait differences, individual's response to a particular drug and they might lead to complex multi-factorial and common diseases such as cancer, inflammatory disease, cardiovascular disease and so on. Identifying and analysing these SNPs is highly important for finding their role in causing diseases and for prevention of diseases. This paper presents a comprehensive review on single nucleotide polymorphisms (SNPs), association of SNPs with diseases, identification of SNPs, tools and methods for SNP identification and SNP identification approaches.

Keywords: single nucleotide polymorphisms; SNPs; SNP identification tools; SNP identification approaches; genetic variations.

DOI: 10.1504/IJCAET.2021.118513

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.4, pp.427 - 457

Received: 24 Mar 2021
Accepted: 30 Jun 2021
Published online: 27 Oct 2021 *