Clust&See3.0 : clustering, module exploration and annotation.

Fabrice Lopez, Lionel Spinelli, Christine Brun
Author Information
  1. Fabrice Lopez: TAGC (UMR1090), Aix-Marseille Université, INSERM, Turing Centre for Living Systems, Marseille, 13009, France. ORCID
  2. Lionel Spinelli: TAGC (UMR1090), Aix-Marseille Université, INSERM, Turing Centre for Living Systems, Marseille, 13009, France.
  3. Christine Brun: TAGC (UMR1090), Aix-Marseille Université, INSERM, Turing Centre for Living Systems, Marseille, 13009, France. ORCID

Abstract

Background: Cytoscape is an open-source software to visualize and analyze networks. However, large networks, such as protein interaction networks, are still difficult to analyze as a whole.
Methods: Here, we propose Clust&See3.0, a novel version of a Cytoscape app that has been developed to identify, visualize and manipulate network clusters and modules. It is now enriched with functionalities allowing custom annotations of nodes and computation of their statistical enrichments.
Results: As the wealth of multi-omics data is growing, such functionalities are highly valuable for a better understanding of biological module composition, as illustrated by the presented use case.
Conclusions: In summary, the originality of Clust&See3.0 lies in providing users with a complete tool for network clusters analyses: from cluster identification, visualization, node and cluster annotations to annotation statistical analyses.

Keywords

References

  1. Biosystems. 2013 Aug;113(2):91-5 [PMID: 23743336]
  2. Nat Genet. 2000 May;25(1):25-9 [PMID: 10802651]
  3. BMC Bioinformatics. 2011 Nov 09;12:436 [PMID: 22070249]
  4. F1000Res. 2024 Nov 14;13:994 [PMID: 39493692]
  5. Nucleic Acids Res. 2024 Jan 5;52(D1):D672-D678 [PMID: 37941124]
  6. Genome Res. 2003 Nov;13(11):2498-504 [PMID: 14597658]
  7. Nature. 2020 Apr;580(7803):402-408 [PMID: 32296183]
  8. Bioinformatics. 2005 Aug 15;21(16):3448-9 [PMID: 15972284]
  9. Bioinformatics. 2012 Jan 1;28(1):84-90 [PMID: 22080466]
  10. Nucleic Acids Res. 2024 Oct 17;: [PMID: 39417505]

MeSH Term

Cluster Analysis
Software
Humans
Computational Biology
Protein Interaction Maps

Word Cloud

Created with Highcharts 10.0.0networksClust&See30annotationsstatisticalclusterCytoscapevisualizeanalyzeinteractionnetworkclustersmodulesfunctionalitiesmodulevisualizationannotationclusteringBackground:open-sourcesoftwareHoweverlargeproteinstilldifficultwholeMethods:proposenovelversionappdevelopedidentifymanipulatenowenrichedallowingcustomnodescomputationenrichmentsResults:wealthmulti-omicsdatagrowinghighlyvaluablebetterunderstandingbiologicalcompositionillustratedpresentedusecaseConclusions:summaryoriginalityliesprovidinguserscompletetoolanalyses:identificationnodeanalyses:explorationfunctionalgraphpartitioningenrichment

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