WholeCellViz: data visualization for whole-cell models

Details

• Alternative Title:
  BMC Bioinformatics
• Personal Author:
  Lee, Ruby ; Karr, Jonathan R ; Covert, Markus W
• 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.
  
  
• Subjects:
  Bacteria Cell Cycle Cell Physiology Chromosome Mapping Computational Biology Computer Simulation Databases, Factual Databases, Genetic Data Visualization Internet Models, Biological Mycoplasma Software Systems Biology Whole-cell Modeling

  More +
• Source:
  BMC Bioinformatics. 2013; 14:253.
• Pubmed ID:
  23964998
• Pubmed Central ID:
  PMC3765349
• Document Type:
  Journal Article
• Funding:
  5DP1LM01150-05/DP/NCCDPHP CDC HHS/United States ; DP1 LM011510/LM/NLM NIH HHS/United States ; DP1 OD006413/OD/NIH HHS/United States
• Volume:
  14
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:d29e44746067fa6dc8861f6c700a618e7c14f41e1be280ac3034d4592b6b87d0
• Download URL:
  https://stacks.cdc.gov/view/cdc/22566/cdc_22566_DS1.pdf
• File Type:
  [PDF - 1.84 MB ]