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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,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
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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. |
format | Online Article Text |
id | pubmed-5089131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT faustkaroline conetappinferenceofbiologicalassociationnetworksusingcytoscape AT raesjeroen conetappinferenceofbiologicalassociationnetworksusingcytoscape |