Gene Set based Analysis of Polymorphisms (GeSBAP) implements the gene set analysis to the evaluation of genome wide association studies. Gene set analysis is based on testing the association of modules of functionally related genes.
i-GSEA4GWAS is a web server for identification of pathways and gene sets associated with traits. An improved gene set enrichment analysis (i-GSEA) is applied to genome wide association studies (GWAS).
ICSNPathway is a web tool for the identification of candidate causal SNPs and their corresponding candidate causal pathways from genome wide association studies. ISCNPathway integrates linkage disequilibrium analysis, functional SNP annotation and pathway based analysis to identify these SNPs and pathways.
A suite of web=based tools for SNP detection. Functional predictions of SNP affect on protein structure, gene regulation, splicing and miRNA binding are incorporated.
SNPsyn is a tool for the discovery of synergistic pairs of SNPs from large genome-wide case-control association studies data on complex diseases. The SNPsyn web server receives GWAS data submissions, invokes the interaction analysis and returns results. The user can explore details on identified SNP-SNP pairs, perform gene set enrichment analysis and interact with the constructed SNP synergy network.
The SNP Prioritization Online Tool (SPOT) is a web server for integrating biological databases into the prioritization of SNPs for further study after a genome wide association study.
T1DBase is a database for type 1 diabetes (T1D). It integrates genetic, genomic and expression data relevant to T1D research across mouse, rat and human and presents this to the user as a set of web pages and tools. New data sets include curated summary data from four genome-wide association studies relevant to T1D, HaemAtlas-a data set and tool to query gene expression levels in haematopoietic cells and a manually curated table of human T1D susceptibility loci, incorporating genetic overlap with other related diseases.