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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://apps.cytoscape.org/apps/jepetto
A Cytoscape plugin that performs integrated gene set analysis using information from interaction, pathways and processes databases. The plugin integrates information from three separate web servers specializing in enrichment analysis, pathways expansion and topological matching. It uses the TopoGSA server to identify topological analogies between the user selected gene set and the known pathways and processes. TopoGSA finds the most similar biological mechanism using the topological features of the interaction network of a user selected gene set. It is also able to suggest genes related to the query gene set using two pathway analysis servers EnrichNet and PathExpand. Both these servers are using a different topological matching algorithms that extends the query gene set with genes from the pathway databases. This integration substantially simplifies the analysis of user gene sets and the interpretation of the results.
Proper citation: JEPETTO (RRID:SCR_005909) Copy
UK public research university based in Newcastle upon Tyne, North East England with overseas campuses in Singapore and Malaysia. The university is a red brick university and a member of the Russell Group, an association of research-intensive UK universities.
Proper citation: Newcastle University; Newcastle upon Tyne; United Kingdom (RRID:SCR_012923) Copy
https://scicrunch.org/resolver/SCR_002250
THIS RESOURCE IS NO LONGER IN SERVICE. Documented Jul 19, 2024. Metadatabase manually curated that provides web accessible tools related to genomics, transcriptomics, proteomics and metabolomics. Used as informative directory for multi-omic data analysis.
Proper citation: OMICtools (RRID:SCR_002250) Copy
Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
Proper citation: Cytoscape (RRID:SCR_003032) Copy
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