is-rSNP is a software tool which predicts whether a SNP is an rSNP. For a given SNP, and using a statistical framework, is-rSNP can successfully predict the set of TFs for which binding is affected. Recent enhancements to the algorithm provide the statistical power to scan large numbers of SNPs, making it suitable to use to screen all associated SNPs output by a typical GWAS.

Details of the algorithm can be found in:
Geoff Macintyre, James Bailey, Izhak Haviv and Adam Kowalczyk. is-rSNP: A novel technique for in silico regulatory SNP detection. Bioinformatics(2010) 26 (18):i524-i530. WEB SERVICE >