Research Article Open Access

Ten Bioinformatics Tools for Single Nucleotide Polymorphisms Detection

Mahin Ghorbani1 and Hamed Karimi2
  • 1 Fergusson College, India
  • 2 Payam Noor University of Farokh-Shahr, Iran
Current Research in Bioinformatics
Volume 3 No. 2, 2014, 45-48

DOI: https://doi.org/10.3844/ajbsp.2014.45.48

Submitted On: 29 November 2014 Published On: 10 April 2015

How to Cite: Ghorbani, M. & Karimi, H. (2014). Ten Bioinformatics Tools for Single Nucleotide Polymorphisms Detection. Current Research in Bioinformatics, 3(2), 45-48. https://doi.org/10.3844/ajbsp.2014.45.48

Abstract

Single Nucleotide Polymorphisms (SNPs) as unique genetic variations are widely used as biomarkers for drug designing and development for individualized therapy. SNP genotyping techniques such as SBE with MS detection, SBE with fluorescence intensity detection, The FP-TDI, Pyrosequencing and The TaqMan 5’ nuclease assay are low-speed, time consuming and very expensive. To overcome such disadvantages, bioinformatics tools are emerged as alternative methods for detection of SNPs in different populations for different diseases such as cancer, diabetes, heart diseases, Down syndrome and other genetic related disorders to help in rapid and low-cost and high accuracy detection methods. In this review we have listed 10 bioinformatics tools for SNP detection to introduce them for the researchers who are interested in SNP detection required studies in order to help them in saving time and cost and enhancement of accuracy of their results. The bioinformatics tools are selected in this review are poly phred, HGBASE, Human chromosome 21 cSNP database, Dog Genome SNP Database, JSNP database, Polybays, novoSNP, HaploSNPer, PupaSNP and QualitySNPng, which have their own specific performance for detection of SNPs. Researcher can choice appropriate programs on the basis of their research’s need and application. We hope this review can be helpful and integrates scientific information with bioinformatics tools in drug discovery processes and other studies involved SNP detection and lead to short time-low cost and high accuracy biomarker detection in drug designing and development process.

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Keywords

  • SNP Detection
  • Single Nucleotide Polymorphism
  • Biomarker
  • Bioinformatics Tools
  • Drug Designing