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Frequently Asked QuestionsWhat is GeDiPNet?GeDiPNet (Gene Disease Pathway Network) is an open-access database that integrates gene-disease associations from various sources, offering curated information on human genes, diseases, SNPs, and pathways. It supports efficient analysis of gene-disease relationships and is designed for high-throughput analysis to identify insights into genetic disease associations, polypharmacological targets, and gene-disease pathway networks. GeDiPNet is a comprehensive resource for exploring gene-disease interactions, helping researchers uncover novel insights in genetic disease research and precision medicine. Why study gene-disease associations?Studying gene-disease associations helps understand disease mechanisms, identify diagnostic biomarkers, inform personalized medicine, and enable risk assessment and predictive medicine. What types of information can I retrieve for human genes using GeDiPNet?GeDiPNet provides comprehensive information on human genes, including gene-disease associations, protein domain/family data, pathway analysis, functional annotations, gene expression, regulation, genetic variations, and protein-protein interactions. What types of analysis can I perform using GeDiPNet?GeDiPNet provides four types of analysis: enrichment analysis for identifying significant gene-disease associations, comorbidity prediction for exploring disease relationships, Venn analysis for examining overlaps in genes or pathways, and polypharmacological target prediction for assessing potential multi-target therapeutics. How are sub-types or similar disease names handled in GeDiPNet?Sub-types or similar disease names are merged into unique terms for efficient analysis. How often is GeDiPNet updated?GeDiPNet is regularly updated to ensure the latest research and data are included. I'm experiencing technical issues with GeDiPNet. Who do I contact?Contact our support team at biomedinfo@nirrch.res.in How do I cite GeDiPNet?
Kundu I, Sharma M, Barai RS, Pokar K, Idicula-Thomas S (2022). GeDiPNet: Online resource of curated gene-disease associations for polypharmacological targets discovery. Genes & Diseases ,
https://doi.org/10.1016/j.gendis.2022.05.034
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