Ten Bioinformatics Tools for Single Nucleotide Polymorphisms Detection
Mahin Ghorbani and Hamed Karimi
DOI : 10.3844/ajbsp.2014.45.48
Current Research in Bioinformatics
Volume 3, Issue 2
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 5â 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 researchâs 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.
© 2014 Mahin Ghorbani and Hamed Karimi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.