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CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components
BACKGROUND: The advent of “omics” science has brought new perspectives in contemporary biology through the high-throughput analyses of molecular interactions, providing new clues in protein/gene function and in the organization of biological pathways. Biomolecular interaction networks, or graphs, ar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606216/ https://www.ncbi.nlm.nih.gov/pubmed/28929969 http://dx.doi.org/10.1186/s12859-017-1787-5 |
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author | Heberle, Henry Carazzolle, Marcelo Falsarella Telles, Guilherme P. Meirelles, Gabriela Vaz Minghim, Rosane |
author_facet | Heberle, Henry Carazzolle, Marcelo Falsarella Telles, Guilherme P. Meirelles, Gabriela Vaz Minghim, Rosane |
author_sort | Heberle, Henry |
collection | PubMed |
description | BACKGROUND: The advent of “omics” science has brought new perspectives in contemporary biology through the high-throughput analyses of molecular interactions, providing new clues in protein/gene function and in the organization of biological pathways. Biomolecular interaction networks, or graphs, are simple abstract representations where the components of a cell (e.g. proteins, metabolites etc.) are represented by nodes and their interactions are represented by edges. An appropriate visualization of data is crucial for understanding such networks, since pathways are related to functions that occur in specific regions of the cell. The force-directed layout is an important and widely used technique to draw networks according to their topologies. Placing the networks into cellular compartments helps to quickly identify where network elements are located and, more specifically, concentrated. Currently, only a few tools provide the capability of visually organizing networks by cellular compartments. Most of them cannot handle large and dense networks. Even for small networks with hundreds of nodes the available tools are not able to reposition the network while the user is interacting, limiting the visual exploration capability. RESULTS: Here we propose CellNetVis, a web tool to easily display biological networks in a cell diagram employing a constrained force-directed layout algorithm. The tool is freely available and open-source. It was originally designed for networks generated by the Integrated Interactome System and can be used with networks from others databases, like InnateDB. CONCLUSIONS: CellNetVis has demonstrated to be applicable for dynamic investigation of complex networks over a consistent representation of a cell on the Web, with capabilities not matched elsewhere. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1787-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5606216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56062162017-09-24 CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components Heberle, Henry Carazzolle, Marcelo Falsarella Telles, Guilherme P. Meirelles, Gabriela Vaz Minghim, Rosane BMC Bioinformatics Software BACKGROUND: The advent of “omics” science has brought new perspectives in contemporary biology through the high-throughput analyses of molecular interactions, providing new clues in protein/gene function and in the organization of biological pathways. Biomolecular interaction networks, or graphs, are simple abstract representations where the components of a cell (e.g. proteins, metabolites etc.) are represented by nodes and their interactions are represented by edges. An appropriate visualization of data is crucial for understanding such networks, since pathways are related to functions that occur in specific regions of the cell. The force-directed layout is an important and widely used technique to draw networks according to their topologies. Placing the networks into cellular compartments helps to quickly identify where network elements are located and, more specifically, concentrated. Currently, only a few tools provide the capability of visually organizing networks by cellular compartments. Most of them cannot handle large and dense networks. Even for small networks with hundreds of nodes the available tools are not able to reposition the network while the user is interacting, limiting the visual exploration capability. RESULTS: Here we propose CellNetVis, a web tool to easily display biological networks in a cell diagram employing a constrained force-directed layout algorithm. The tool is freely available and open-source. It was originally designed for networks generated by the Integrated Interactome System and can be used with networks from others databases, like InnateDB. CONCLUSIONS: CellNetVis has demonstrated to be applicable for dynamic investigation of complex networks over a consistent representation of a cell on the Web, with capabilities not matched elsewhere. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1787-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-13 /pmc/articles/PMC5606216/ /pubmed/28929969 http://dx.doi.org/10.1186/s12859-017-1787-5 Text en © The Author(s) 2017 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 Heberle, Henry Carazzolle, Marcelo Falsarella Telles, Guilherme P. Meirelles, Gabriela Vaz Minghim, Rosane CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
title | CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
title_full | CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
title_fullStr | CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
title_full_unstemmed | CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
title_short | CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
title_sort | cellnetvis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606216/ https://www.ncbi.nlm.nih.gov/pubmed/28929969 http://dx.doi.org/10.1186/s12859-017-1787-5 |
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