SNPrank is an eigenvector centrality algorithm that ranks the importance of single nucleotide polymorphisms (SNPs) in a genetic association interaction network (GAIN). Each SNP is ranked according to its overall contribution to the phenotype, including its main effect and second- and higher-order gene-gene interactions.
Insilico Research Group (McKinney Laboratory for Bioinformatics and In Silico Modeling)
- Linux / Windows/ MacOsX
- Python / Java / MatLab
:: MORE INFORMATION
Bioinformatics. 2011 Jan 15;27(2):284-5. doi: 10.1093/bioinformatics/btq638. Epub 2010 Nov 25.
Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS.
Davis NA, Pandey A, McKinney BA.