Title: Bioinformatics tools for genome-wide single nucleotide polymorphisms management and analyses: a review

Authors: Qiongying Jia; Yanqi Wu; Nongyue He; Yan Deng

Addresses: State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China ' State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China ' State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China ' Economical Forest Cultivation and Utilisation of 2011 Collaborative Innovation Center in Hunan Province, Hunan Key Laboratory of Green Packaging and Biomedical Nanotechnology, Hunan University of Technology, Zhuzhou 412007, China

Abstract: Advances in modern genetics have brought a dramatic increase in the number of single nucleotide polymorphisms (SNPs), as well as the fast accumulating genotype data in public databases. In response, many bioinformatics tools are explored to manage and extract valuable information from such large datasets. Here, we firstly review the methodological strategies and introduce some well-established programs in management and analyses of SNP data. Then, possible challenges and development in this field are discussed. It hopes that these applied tools will greatly assist in exploring susceptibility for complex diseases.

Keywords: genetic association; data management; statistical analysis; single nucleotide polymorphisms; SNPs; bioinformatics; SNP analysis; complex diseases.

DOI: 10.1504/IJBIC.2014.062638

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.3, pp.205 - 227

Received: 26 Mar 2014
Accepted: 26 Mar 2014

Published online: 10 Jun 2014 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article