Welcome to GEDI
The goal of GEDI (Genetic Diseases/Gene Discovery) is to provide integrated bioinformatics platforms that will support systems analysis of Human multigene disorders. GEDI will:
Support automated and interactive expert-driven construction and iterative reconstruction of networks-based disease models based on various classes of data obtained from the databases, derived from the literature by text mining as well as experimental data provided by users.
Support identification of high-confidence genetic factors and complex patterns of inheritance contributing to phenotype of complex disorders for further characterization in experimental studies.
Support comparative analysis of genetic diseases by providing data and bioinformatics tools for identification of molecular pathways contributing to multiple disease phenotypes.
Serve as a public repository for the evolving automated and expert-curated disease models.
Search based on Gene
Search based on Entrez Gene_ID or Gene_Symbol to get their respective Gene Annotations, Associated Diseases, Protein-protein Interactions (from BIND, BioGRID, HPRD and Geneways - text mining data) Example: (Gene_ID : 8573 or Gene_Symbol : CASK)
Search based on Disease
Search based on either OMIM_ID or Disease Title/Disease Name (Example: OMIM_ID : 209850 or Disease Name: Autism)
Search based on KEGG Pathways
Search based on either KEGG Pathway ID or KEGG Pathway Title (Example: path:map04340 or Hedgehog signaling pathway)Help
Search based on Gene Sets (Gene IDs or Gene Symbols)
Given a list of Entrez Gene_IDs or Gene_Symbols you can get their respective Gene Annotations (Example: Autism Gene list)
Search based on OMIM IDs
Given a list of Entrez OMIM_IDs you can get their respective Gene Annotations (Example: Disease list)
Search based on Interacting pair IDs
Given a list of Entrez Interacting_pair IDs you can get their respective Gene Annotations (Example: Interacting pair list)
Search based on RS IDs
Given a list of rs numbers you can get their respective GWAS/Gene Annotations (Example: RS# list)
Search based on Coordinates
Given a list of coordinates you can get the corresponding genes in those regions along with their annotations (Example: Coordinates list)
Choose your Initial set for Autism GWAS Annotations using one of the 3 options
1. Submit your own set of genes
2. Choose the gene set from Autism Database (AutDB)
3. Choose the best 200 SNPs from AGRE CHOP Data