GeneMania Cytoscape plugin
GeneMania Cytoscape plugin predicts gene function by applying a guilt-by-association approach that leverages functional interaction networks to identify genes related to a query gene set.
Key Features:
- Guilt-by-association methodology: Uses guilt-by-association on functional interaction networks to prioritize genes related to a query gene set.
- Functional interaction network database: Utilizes over 800 functional interaction networks derived from six different organisms.
- Traceability: Each gene identified as related to the query set is traceable to the specific source network used in its prediction.
- Custom data integration: Incorporates user-defined interaction networks and expression profile data into analyses.
- Implementation: Implemented in Java.
Scientific Applications:
- Functional genomics: Gene function prediction and annotation via network-based inference.
- Systems biology: Network-based analysis of gene interactions and network context.
- Personalized medicine: Supporting investigations where understanding gene function and interaction networks is crucial.
Methodology:
Applies a guilt-by-association approach on functional interaction networks and can incorporate user-defined interaction networks and expression profile data.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- Java
- Added:
- 5/1/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Montojo J, Zuberi K, Rodriguez H, Kazi F, Wright G, Donaldson SL, Morris Q, Bader GD. GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop. Bioinformatics. 2010;26(22):2927-2928. doi:10.1093/bioinformatics/btq562. PMID:20926419. PMCID:PMC2971582.