ArticleBMC systems biology2016
MORO: a Cytoscape app for relationship analysis between modularity and robustness in large-scale biological networks.
Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 10 citations in OpenAlex.
- Identification of anticancer drug target genes using an outside competitive dynamics model on cancer signaling networks.Scientific reports · 2021Article
- Density-dependent oxylipin production in natural diatom communities: possible implications for plankton dynamics.The ISME journal · 2020Article
- Investigation on changes of modularity and robustness by edge-removal mutations in signaling networks.BMC systems biology · 2017Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
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Abstract
backgroundAlthough there have been many studies revealing that dynamic robustness of a biological network is related to its modularity characteristics, no proper tool exists to investigate the relation between network dynamics and modularity.
resultsAccordingly, we developed a novel Cytoscape app called MORO, which can conveniently analyze the relationship between network modularity and robustness. We employed an existing algorithm to analyze the modularity of directed graphs and a Boolean network model for robustness calculation. In particular, to ensure the robustness algorithm's applicability to large-scale networks, we implemented it as a parallel algorithm by using the OpenCL library. A batch-mode simulation function was also developed to verify whether an observed relationship between modularity and robustness is conserved in a large set of randomly structured networks. The app provides various visualization modes to better elucidate topological relations between modules, and tabular results of centrality and gene ontology enrichment analyses of modules. We tested the proposed app to analyze large signaling networks and showed an interesting relationship between network modularity and robustness.
conclusionsOur app can be a promising tool which efficiently analyzes the relationship between modularity and robustness in large signaling networks.
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