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Created on: 12-Oct-2012   Last updated on: 12-Oct-2012  |  How to cite this?
Total resources - 16
A list of resources for disease-gene relationships
Sravanthi Davuluri and Akhilesh Bajpai (Correspondence: Acharya KK, kshitish@ibab.ac.in)

Resources
Short description*Rank by usage frequency Click to Edit / Add comments
CAESAR
http://visionlab.bio.unc.edu/caesar/
Ranking genes as candidate genes for a complex trait using ontologies
1
Oncomine
https://www.oncomine.org
Gene expression patterns for several cancers
43
S2G - Syndrome to Gene
http://fohs.bgu.ac.il/s2g
A resource to find candidate gene for new and known syndromes, phenotypes, and related genes for a given set of genes
78
DGP - Disease Gene Prediction
http://www.cgg.ebi.ac.uk/services/dgp
Indication of involvement of genes in hereditary diseases using conservation, phylogenetic extent, protein length and paralogy patterns
95

URL not working as on 17 Jan 2014 (confirmed on 3 Nov 2016)
NCG - Network of Cancer Genes
http://bio.ieo.eu/ncg
A resource to analyze genes in relation to cancer, and to find out their duplicability, orthology, miRNA targets and network properties
96
A searchable knowledgebase with many integrated applications such as gene-disease associations, genetic markers, genotype prevalence and publication trends
97
POCUS - Prioritization Of Candidate genes Using Statistics
http://homepages.ed.ac.uk/csemple/pocus
Prediction of disease genes by over-representation of shared identifiers, and functional annotation
98
PolySearch
http://wishart.biology.ualberta.ca/polysearch
A text-mining tool for identifying associations among queries including diseases
98
ProDiGe - Prioritization of disease genes
http://cbio.ensmp.fr/~jvert/svn/prodige/html
Disease gene prioritization and functional annotation: disease associations, gene expression, protein-interactions, domains, transcriptional motifs and literature
99
CancerResource
http://bioinf-data.charite.de/cancerresource
Functional annotation focused on cancer: GO, pathways, gene expression, drugs, protein-interactions, structures, etc.
100
GeneRanker
http://cbioc.eas.asu.edu/generanker
Identify and annotate gene-disease relationships by mining the biomedical literature
100
GeneWanderer
http://compbio.charite.de/genewanderer
Identify probable disease/phenotype candidate genes on a chromosomal location by combining disease relationships and protein-interactions
100
GenTrepid
http://www.gentrepid.org
Gene prioritization based on pathways and disease relationships, including protein-interactions, domains and structures
100
iCTNet - integrated Complex Traits Network
http://flux.cs.queensu.ca/ictnet
Functional association networks: DNA/protein-interactions, pathways, diseases, drug-targets, gene-tissue, etc.
100
PGMapper - Phenotype genotype mapper
http://www.genediscovery.org/pgmapper
Matching genes to phenotypes
100
PhenoPred
http://www.phenopred.org
Identify novel gene-disease associations in humans
100
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