NetworkPainter: Dynamic Intracellular Pathway Animation in Cytobank

Overview

Journal BMC Bioinformatics

Publisher Biomed Central

Specialty Biology

Date 2015 May 25

PMID 26003204

Citations 2

Authors

Jonathan R Karr

Harendra Guturu

Edward Y Chen

Stuart L Blair

Jonathan M Irish

Nikesh Kotecha

Markus W Covert

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

Dynamically characterizing individual clinical change by the steady state of disease-associated pathway.

Sun S, Yu X, Sun F, Tang Y, Zhao J, Zeng T BMC Bioinformatics. 2019; 20(Suppl 25):697.

PMID: 31874621 PMC: 6929545. DOI: 10.1186/s12859-019-3271-x.

Cell size assays for mass cytometry.

Stern A, Rahman A, Birtwistle M Cytometry A. 2016; 91(1):14-24.

PMID: 27768827 PMC: 5250533. DOI: 10.1002/cyto.a.23000.

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