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CoNet app: inference of biological association networks using Cytoscape

F1000 research, 2016, Vol.5, p.1519-1519 [Peer Reviewed Journal]

ISSN: 2046-1402 ;EISSN: 2046-1402 ;DOI: 10.12688/f1000research.9050.1 ;PMID: 27853510

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  • Title:
    CoNet app: inference of biological association networks using Cytoscape
  • Author: Faust, Karoline ; Raes, Jeroen
  • Is Part Of: F1000 research, 2016, Vol.5, p.1519-1519
  • Description: Here we present the Cytoscape app version of our association network inference tool CoNet. Though CoNet was developed with microbial community data from sequencing experiments in mind, it is designed to be generic and can detect associations in any data set where biological entities (such as genes, metabolites or species) have been observed repeatedly. The CoNet app supports Cytoscape 2.x and 3.x and offers a variety of network inference approaches, which can also be combined. Here we briefly describe its main features and illustrate its use on microbial count data obtained by 16S rDNA sequencing of arctic soil samples. The CoNet app is available at: http://apps.cytoscape.org/apps/conet.
  • Publisher: England
  • Language: English
  • Identifier: ISSN: 2046-1402
    EISSN: 2046-1402
    DOI: 10.12688/f1000research.9050.1
    PMID: 27853510
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    PubMed Central
    ProQuest Central
    DOAJ Directory of Open Access Journals
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