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F1000Research, F1000Research, (5), p. 1519, 2016

DOI: 10.12688/f1000research.9050.2

F1000Research, F1000Research, (5), p. 1519, 2016

DOI: 10.12688/f1000research.9050.1

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CoNet app: inference of biological association networks using Cytoscape

Journal article published in 2016 by Karoline Faust ORCID, Jeroen Raes ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.