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)
HelpCoordinates/Position
(Example: chr16:29470950-30174443)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