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CoNet app: inference of biological association networks using Cytoscape

Open access
Faust, Karoline, Raes, Jeroen·2016·F1000Research

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 .

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Metadata

Authors
Faust, K., & Raes, J.
Venue
F1000Research
Published
2016-06-27
Volume
5
Pages
1519
ISSN
2046-1402 (ISSN-L)
OpenAlex
W4245901258
Cited by
615
References
29
FWCI
15.20
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: CoNet app: inference of biological association networks using Cytoscape. https://app.cochat.ai/papers/10.12688/f1000research.9050.1
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Faust, K., & Raes, J. (2016). CoNet app: inference of biological association networks using Cytoscape. F1000Research. https://doi.org/10.12688/f1000research.9050.1

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