KGG (Knowledge-based mining system for Genome-wide Genetic studies) is a software tool to perform knowledge-based analysis for genome-wide association studies(GWAS). At present, it has three major functions, 1) prioritizing SNPs through a knowledge-based weighting method; 2) efficiently conducting powerful gene-based association tests using SNP p-values from GWAS; 3) advanced biological module-level analysis (pathway and PPI network enrichment) of significant genes suggested by the analyses of 1) or 2).
Miao-xin Li, Department of Biochemistry, The University of Hong Kong
- Windows / Linux / MacOSX
:: MORE INFORMATION
MGAS: a powerful tool for multivariate gene-based genome-wide association analysis.
van der Sluis S, Dolan CV, Li J, Song Y, Sham P, Posthuma D, Li MX.
Bioinformatics. 2014 Nov 26. pii: btu783.
Li MX, Sham PC, Cherny SS, Song YQ.(2010)
A knowledge-based weighting framework to boost the power of genome-wide association studies.
PLoS One Dec 31;5(12):e14480