Abstract

CytoHubba provide a user-friendly interface to explore important nodes in biological networks. It computes all eleven methods in one stop shopping way. Besides, researchers are able to combine cytoHubba with and other plugins into a novel analysis scheme. The network and sub-networks caught by this topological analysis strategy will lead to new insights on essential regulatory networks and protein drug targets for experimental biologists. According to cytoscape plugin download statistics, the accumulated number of cytoHubba is around 6,700 times since 2010.

Keywords

Betweenness centralityBiological networkComputer scienceInteractomeSystems biologyComponent (thermodynamics)Plug-inCentralityData miningNetwork analysisCliqueBottleneckGene regulatory networkClosenessTheoretical computer scienceComputational biologyBiologyMathematicsGene

Affiliated Institutions

Related Publications

Publication Info

Year
2014
Type
article
Volume
8
Issue
S4
Pages
S11-S11
Citations
6255
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

6255
OpenAlex

Cite This

Chia-Hao Chin, Shu-Hwa Chen, Hsin-Hung Wu et al. (2014). cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Systems Biology , 8 (S4) , S11-S11. https://doi.org/10.1186/1752-0509-8-s4-s11

Identifiers

DOI
10.1186/1752-0509-8-s4-s11