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CoNet app: inference of biological association networks using Cytoscape

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,...

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Detalles Bibliográficos
Autores principales: Faust, Karoline, Raes, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5089131/
https://www.ncbi.nlm.nih.gov/pubmed/27853510
http://dx.doi.org/10.12688/f1000research.9050.2
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author Faust, Karoline
Raes, Jeroen
author_facet Faust, Karoline
Raes, Jeroen
author_sort Faust, Karoline
collection PubMed
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.
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spelling pubmed-50891312016-11-15 CoNet app: inference of biological association networks using Cytoscape Faust, Karoline Raes, Jeroen F1000Res Software Tool Article 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. F1000Research 2016-10-14 /pmc/articles/PMC5089131/ /pubmed/27853510 http://dx.doi.org/10.12688/f1000research.9050.2 Text en Copyright: © 2016 Faust K and Raes J http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Faust, Karoline
Raes, Jeroen
CoNet app: inference of biological association networks using Cytoscape
title CoNet app: inference of biological association networks using Cytoscape
title_full CoNet app: inference of biological association networks using Cytoscape
title_fullStr CoNet app: inference of biological association networks using Cytoscape
title_full_unstemmed CoNet app: inference of biological association networks using Cytoscape
title_short CoNet app: inference of biological association networks using Cytoscape
title_sort conet app: inference of biological association networks using cytoscape
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5089131/
https://www.ncbi.nlm.nih.gov/pubmed/27853510
http://dx.doi.org/10.12688/f1000research.9050.2
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