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Step-by-step user manual: search, browse genes & diseases, pathway analysis, enrichment, comorbidity, and more.
Homepage
The GeDiPNet homepage presents a concise overview of the database architecture and computational methodologies. Data can be retrieved using the navigation tabs at the top of the webpage: Home, Browse (Genes, Diseases, Proteins, SNPs / Variants, Pathways), Analysis, Statistics, Resources, Blogs, Login, and Contact Us. The hero banner features a simple text search box at the centre of the homepage — type a gene name, disease name, SNP, pathway identifier, or any keyword, or try one of the quick-search examples (BRCA1, Diabetes, Glycolysis) — alongside a live count of Genes, Diseases, Pathways, Proteins, and SNPs currently in the database. Search results display a categorized summary of all database entries related to the query term; click on any category to go to a page of detailed information. Below the hero, a three-column layout summarizes the database ("About GeDiPNet"), the platform's key capabilities ("Why Use GeDiPNet?" — Curated Knowledgebase, Dynamic Analysis, Collaborative Platform), and the four analysis entry points ("I Want to Identify...").
GeDiPNet provides four specialized analysis tools accessible through the "I Want to Identify..." section on the homepage. These interactive tabs are designed to address specific research questions in gene-disease-pathway analysis:
- I want to identify enriched pathways for a gene set: To perform comprehensive pathway, diseases and tissue specific pathway enrichment analysis using set of genes for deeper biological insights.
- I want to identify comorbidity risk for a list of diseases: To identify potential disease co-occurrences by analyzing shared genes between multiple diseases.
- I want to identify polypharmacological targets for a list of diseases: To identify common therapeutic targets from shared genes among comorbid conditions through pathway and network analysis to predict potential drugs.
- I want to identify common genes and pathways for a list of diseases: To identify common and unique genes, pathways etc through visual Venn diagram analysis for a list of diseases.