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WholeCellViz: data visualization for whole-cell models

BACKGROUND: Whole-cell models promise to accelerate biomedical science and engineering. However, discovering new biology from whole-cell models and other high-throughput technologies requires novel tools for exploring and analyzing complex, high-dimensional data. RESULTS: We developed WholeCellViz,...

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Detalles Bibliográficos
Autores principales: Lee, Ruby, Karr, Jonathan R, Covert, Markus W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765349/
https://www.ncbi.nlm.nih.gov/pubmed/23964998
http://dx.doi.org/10.1186/1471-2105-14-253
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author Lee, Ruby
Karr, Jonathan R
Covert, Markus W
author_facet Lee, Ruby
Karr, Jonathan R
Covert, Markus W
author_sort Lee, Ruby
collection PubMed
description BACKGROUND: Whole-cell models promise to accelerate biomedical science and engineering. However, discovering new biology from whole-cell models and other high-throughput technologies requires novel tools for exploring and analyzing complex, high-dimensional data. RESULTS: We developed WholeCellViz, a web-based software program for visually exploring and analyzing whole-cell simulations. WholeCellViz provides 14 animated visualizations, including metabolic and chromosome maps. These visualizations help researchers analyze model predictions by displaying predictions in their biological context. Furthermore, WholeCellViz enables researchers to compare predictions within and across simulations by allowing users to simultaneously display multiple visualizations. CONCLUSION: WholeCellViz was designed to facilitate exploration, analysis, and communication of whole-cell model data. Taken together, WholeCellViz helps researchers use whole-cell model simulations to drive advances in biology and bioengineering.
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spelling pubmed-37653492013-09-07 WholeCellViz: data visualization for whole-cell models Lee, Ruby Karr, Jonathan R Covert, Markus W BMC Bioinformatics Software BACKGROUND: Whole-cell models promise to accelerate biomedical science and engineering. However, discovering new biology from whole-cell models and other high-throughput technologies requires novel tools for exploring and analyzing complex, high-dimensional data. RESULTS: We developed WholeCellViz, a web-based software program for visually exploring and analyzing whole-cell simulations. WholeCellViz provides 14 animated visualizations, including metabolic and chromosome maps. These visualizations help researchers analyze model predictions by displaying predictions in their biological context. Furthermore, WholeCellViz enables researchers to compare predictions within and across simulations by allowing users to simultaneously display multiple visualizations. CONCLUSION: WholeCellViz was designed to facilitate exploration, analysis, and communication of whole-cell model data. Taken together, WholeCellViz helps researchers use whole-cell model simulations to drive advances in biology and bioengineering. BioMed Central 2013-08-21 /pmc/articles/PMC3765349/ /pubmed/23964998 http://dx.doi.org/10.1186/1471-2105-14-253 Text en Copyright © 2013 Lee et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Lee, Ruby
Karr, Jonathan R
Covert, Markus W
WholeCellViz: data visualization for whole-cell models
title WholeCellViz: data visualization for whole-cell models
title_full WholeCellViz: data visualization for whole-cell models
title_fullStr WholeCellViz: data visualization for whole-cell models
title_full_unstemmed WholeCellViz: data visualization for whole-cell models
title_short WholeCellViz: data visualization for whole-cell models
title_sort wholecellviz: data visualization for whole-cell models
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765349/
https://www.ncbi.nlm.nih.gov/pubmed/23964998
http://dx.doi.org/10.1186/1471-2105-14-253
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