SNPrank 0.1.0 – Network Analysis tool for GWAS

SNPrank 0.1.0

:: DESCRIPTION

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.

::DEVELOPER

Insilico Research Group (McKinney Laboratory for Bioinformatics and In Silico Modeling)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python / Java / MatLab

:: DOWNLOAD

 pysnprank ,  matsnprank , jsnprank

:: MORE INFORMATION

Citation

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.