CellNOpt 1.4.0 / CellNOptR 1.38.0 – Creat Logic-based Models of Signal Transduction Networks

CellNOpt 1.4.0 / CellNOptR 1.38.0

:: DESCRIPTION

CellNOpt (from CellNetOptimizer; a.k.a. CNO,CellNOptR) is a toolbox for creating logic-based models of signal transduction networks, and training them against high-throughput biochemical data.

::DEVELOPER

Saez-Rodriguez Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • R package
  • Matlab

:: DOWNLOAD

 CellNOpt

:: MORE INFORMATION

Citation:

C Terfve, T Cokelaer, A MacNamara, D Henriques, E Goncalves, MK Morris, M van Iersel, DA Lauffenburger, J Saez-Rodriguez.
CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.
BMC Systems Biology, 2012, 6:133

NET-SYNTHESIS – Synthesis, Inference and Simplification of Signal Transduction Networks

NET-SYNTHESIS

:: DESCRIPTION

NET-SYNTHESIS performs combined synthesis, inference and simplification of signal transduction networks. The main idea of the application lies in representing observed indirect causal relationships as network paths, introducing pseudo-vertices for unknown intermediaries of these paths and using techniques from combinatorial optimization to find the most parsimonious graph consistent with all experimental observations. The software contains algorithms for (i) transitive reduction of an initially synthesized graph subject to the constraints that no edges corresponding to direct interactions are eliminated and (ii) pseudo-vertex collapse subject to the constraints that real (known) vertices are not eliminated.

::DEVELOPER

Bhaskar DasGupta

:: SCREENSHOTS

:: REQUIREMENTS

  •  Windows

:: DOWNLOAD

 NET-SYNTHESIS

:: MORE INFORMATION

Citation

Sema Kachalo, Ranran Zhang, Eduardo Sontag, Réka Albert and Bhaskar DasGupta,
NET-SYNTHESIS: A software for synthesis, inference and simplification of signal transduction networks,
Bioinformatics, Volume 24, Number 2, pp. 293-295, January 2008

 

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