NetworkPainter: dynamic intracellular pathway animation in Cytobank

Details

• Alternative Title:
  BMC Bioinformatics
• Personal Author:
  Karr, Jonathan R ; Guturu, Harendra ; Chen, Edward Y ; Blair, Stuart L ; Irish, Jonathan M ; Kotecha, Nikesh ; Covert, Markus W
• Description:
  Background
  
  High-throughput technologies such as flow and mass cytometry have the potential to illuminate cellular networks. However, analyzing the data produced by these technologies is challenging. Visualization is needed to help researchers explore this data.
  
  Results
  
  We developed a web-based software program, NetworkPainter, to enable researchers to analyze dynamic cytometry data in the context of pathway diagrams. NetworkPainter provides researchers a graphical interface to draw and “paint” pathway diagrams with experimental data, producing animated diagrams which display the activity of each network node at each time point.
  
  Conclusion
  
  NetworkPainter enables researchers to more fully explore multi-parameter, dynamical cytometry data.
  
  Electronic supplementary material
  
  The online version of this article (doi:10.1186/s12859-015-0602-4) contains supplementary material, which is available to authorized users.
  
  
• Subjects:
  Animation Cytometry Network Software Systems Biology Visualization
• Source:
  BMC Bioinformatics. 16(1).
• Pubmed ID:
  26003204
• Pubmed Central ID:
  PMC4491883
• Document Type:
  Journal Article
• Funding:
  1P50GM107615/GM/NIGMS NIH HHS/United States ; 5DP1LM01150-05/DP/NCCDPHP CDC HHS/United States ; CA125994-01A1/CA/NCI NIH HHS/United States ; CA143231/CA/NCI NIH HHS/United States ; K99 CA125994/CA/NCI NIH HHS/United States ; K99 CA143231/CA/NCI NIH HHS/United States ; P50 GM107615/GM/NIGMS NIH HHS/United States ; R00 CA125994/CA/NCI NIH HHS/United States ; R00 CA143231/CA/NCI NIH HHS/United States
• Volume:
  16
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:d60c2b4359b150c017b854b0d78593ff0e6f95895c23d7bd5ae0bde1f3b878cf
• Download URL:
  https://stacks.cdc.gov/view/cdc/31977/cdc_31977_DS1.pdf
• File Type:
  [PDF - 1.76 MB ]