NetworkPainter: dynamic intracellular pathway animation in Cytobank

BMC Bioinformatics

Jonathan R Karr²  Harendra Guturu⁵  Edward Y Chen¹  Stuart L Blair⁴  Jonathan M Irish³  Nikesh Kotecha⁴  Markus W Covert¹ 

[1] Department of Bioengineering, Stanford University, 443 Via Ortega, Stanford 94305, CA, USA

[2] Department of Genetics & Genomic Sciences, Mount Sinai School of Medicine, One Gustave L Levy Place, New York 10029, NY, USA

[3] Department of Cancer Biology, Vanderbilt University, 740B Preston Building, 2220 Pierce Avenue, Nashville 37232, TN, USA

[4] Cytobank Inc, 821 West El Camino Real, Mountain View 94040, CA, USA

[5] Department of Electrical Engineering, Stanford University, 279 Campus Drive West, Stanford 94305, CA, USA

关键词: Cytometry;    Systems biology;    Network;    Animation;    Visualization;   

Others  :  1232526
DOI  :  10.1186/s12859-015-0602-4

 received in 2014-10-28, accepted in 2015-04-28,  发布年份 2015

【 摘 要 】

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.

【 授权许可】

   
2015 Karr et al.; licensee BioMed Central.

【 图 表 】

Figure 1.

Figure 2.

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