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NetworkPainter: dynamic intracellular pathway animation in Cytobank.
Karr, Jonathan R; Guturu, Harendra; Chen, Edward Y; Blair, Stuart L; Irish, Jonathan M; Kotecha, Nikesh; Covert, Markus W.
Afiliación
  • Karr JR; Graduate Program in Biophysics, Stanford University, 443 Via Ortega, MC 4245, Stanford, CA, 94305, USA. jkarr@stanfordalumni.org.
  • Guturu H; Department of Genetics & Genomic Sciences, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, NY, 10029, USA. jkarr@stanfordalumni.org.
  • Chen EY; Department of Electrical Engineering, Stanford University, 279 Campus Drive West, MC 5329, Stanford, CA, 94305, USA. hguturu@stanford.edu.
  • Blair SL; Department of Bioengineering, Stanford University, 443 Via Ortega, MC 4245, Stanford, CA, 94305, USA. edchen@alumni.stanford.edu.
  • Irish JM; Cytobank Inc, 821 West El Camino Real, Mountain View, CA, 94040, USA. stu@cytobank.org.
  • Kotecha N; Department of Medicine, Stanford University, 269 Campus Drive West, MC 5175, Stanford, CA, 94305, USA. jonathan.irish@vanderbilt.edu.
  • Covert MW; Department of Microbiology & Immunology, Stanford University, 269 Campus Drive West, MC 5175, Stanford, CA, 94305, USA. jonathan.irish@vanderbilt.edu.
BMC Bioinformatics ; 16: 172, 2015 May 25.
Article en En | MEDLINE | ID: mdl-26003204
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Leucocitos Mononucleares / Transducción de Señal / Biología Computacional / Internet / Citometría de Flujo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Leucocitos Mononucleares / Transducción de Señal / Biología Computacional / Internet / Citometría de Flujo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos