CoNet app: inference of biological association networks using Cytoscape

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 .

Cited by papers we hold 5

• From diversity to complexity: Microbial networks in soils · 2022
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• Network analysis methods for studying microbial communities: A mini review · 2021
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• Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors · 2018
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• Grapevine rootstocks shape underground bacterial microbiome and networking but not potential functionality · 2018
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