DISNOR
DISNOR integrates gene-disease association (GDA) data from DisGeNET with curated causal interactions from SIGNOR to assemble inferred disease networks and analyze molecular mechanisms underlying pathological phenotypes.
Key Features:
- Data integration: Integrates gene-disease association (GDA) data from DisGeNET with causal interactions curated in SIGNOR.
- Inferred disease networks: Assembles over 3,700 disease networks interconnecting approximately 2,600 disease genes.
- Patho-pathway assembly: Links disease genes through manually annotated causal relationships to generate inferred "patho-pathways".
- User-defined input: Accommodates user-defined gene lists in the query pipeline for customized analyses.
- Functional enrichment: Performs gene set enrichment analysis on KEGG-defined pathways and on proteins associated with inferred disease pathways.
- Disease similarity assessment: Enables comparison of diseases based on shared molecular interactions and enriched pathways.
Scientific Applications:
- Elucidation of disrupted signaling: Identification of signaling events whose disruption may lead to pathological phenotypes by tracing causal interactions among disease genes.
- Reconstruction of molecular disease mechanisms: Reconstruction and exploration of disease-specific molecular interaction networks ("patho-pathways").
- Pathway-level interpretation: Interpretation of disease-associated genes at the pathway level via KEGG-based gene set enrichment.
- Disease similarity analysis: Comparative analysis of diseases based on shared genes, causal interactions, and enriched pathways.
- Contextualization of custom gene lists: Mapping of user-provided gene sets onto curated disease networks to contextualize findings within known disease mechanisms.
Methodology:
Integrates GDA data from DisGeNET with causal interactions curated in SIGNOR; links disease genes via manually annotated causal relationships to assemble inferred disease networks; performs gene set enrichment analysis on KEGG-defined pathways and on proteins associated with inferred disease pathways; accepts user-defined gene lists in the query pipeline.
Topics
Collections
Details
- License:
- CC-BY-NC-4.0
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 7/11/2019
- Last Updated:
- 3/31/2021
Operations
Publications
Lo Surdo P, et al. DISNOR: a disease network open resource. Nucleic Acids Res. 2018; 46:D527-D534. doi: 10.1093/nar/gkx876
PMID: 29036667
Documentation
User manual
https://disnor.uniroma2.it/Downloads
- Downloads pagehttps://disnor.uniroma2.it/