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GeNeCK: a web server for gene network construction and visualization
BACKGROUND: Reverse engineering approaches to infer gene regulatory networks using computational methods are of great importance to annotate gene functionality and identify hub genes. Although various statistical algorithms have been proposed, development of computational tools to integrate results...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323745/ https://www.ncbi.nlm.nih.gov/pubmed/30616521 http://dx.doi.org/10.1186/s12859-018-2560-0 |
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author | Zhang, Minzhe Li, Qiwei Yu, Donghyeon Yao, Bo Guo, Wei Xie, Yang Xiao, Guanghua |
author_facet | Zhang, Minzhe Li, Qiwei Yu, Donghyeon Yao, Bo Guo, Wei Xie, Yang Xiao, Guanghua |
author_sort | Zhang, Minzhe |
collection | PubMed |
description | BACKGROUND: Reverse engineering approaches to infer gene regulatory networks using computational methods are of great importance to annotate gene functionality and identify hub genes. Although various statistical algorithms have been proposed, development of computational tools to integrate results from different methods and user-friendly online tools is still lagging. RESULTS: We developed a web server that efficiently constructs gene networks from expression data. It allows the user to use ten different network construction methods (such as partial correlation-, likelihood-, Bayesian- and mutual information-based methods) and integrates the resulting networks from multiple methods. Hub gene information, if available, can be incorporated to enhance performance. CONCLUSIONS: GeNeCK is an efficient and easy-to-use web application for gene regulatory network construction. It can be accessed at http://lce.biohpc.swmed.edu/geneck. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2560-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6323745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63237452019-01-10 GeNeCK: a web server for gene network construction and visualization Zhang, Minzhe Li, Qiwei Yu, Donghyeon Yao, Bo Guo, Wei Xie, Yang Xiao, Guanghua BMC Bioinformatics Software BACKGROUND: Reverse engineering approaches to infer gene regulatory networks using computational methods are of great importance to annotate gene functionality and identify hub genes. Although various statistical algorithms have been proposed, development of computational tools to integrate results from different methods and user-friendly online tools is still lagging. RESULTS: We developed a web server that efficiently constructs gene networks from expression data. It allows the user to use ten different network construction methods (such as partial correlation-, likelihood-, Bayesian- and mutual information-based methods) and integrates the resulting networks from multiple methods. Hub gene information, if available, can be incorporated to enhance performance. CONCLUSIONS: GeNeCK is an efficient and easy-to-use web application for gene regulatory network construction. It can be accessed at http://lce.biohpc.swmed.edu/geneck. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2560-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-07 /pmc/articles/PMC6323745/ /pubmed/30616521 http://dx.doi.org/10.1186/s12859-018-2560-0 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Zhang, Minzhe Li, Qiwei Yu, Donghyeon Yao, Bo Guo, Wei Xie, Yang Xiao, Guanghua GeNeCK: a web server for gene network construction and visualization |
title | GeNeCK: a web server for gene network construction and visualization |
title_full | GeNeCK: a web server for gene network construction and visualization |
title_fullStr | GeNeCK: a web server for gene network construction and visualization |
title_full_unstemmed | GeNeCK: a web server for gene network construction and visualization |
title_short | GeNeCK: a web server for gene network construction and visualization |
title_sort | geneck: a web server for gene network construction and visualization |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323745/ https://www.ncbi.nlm.nih.gov/pubmed/30616521 http://dx.doi.org/10.1186/s12859-018-2560-0 |
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