GNW is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. We are using in vivo microarray compendia side-by-side with synthetic (GNW) data to assess the performance of network inference methods in the DREAM challenge.
You can launch GNW directly from your browser by clicking the button in the sidebar. If it doesn't work, make sure that you have Java web start installed.
Please contact us directly or use the Sourceforge trackers for questions, feature requests, bug reports, etc. Your feedback is highly appreciated.
libSDE is an Java library for numerical integration of Stochastic Differential Equations (SDEs). It allows integration of Ito and Stratonovich SDEs using several methods (Euler-Maruyama, Euler-Heun, derivative-free Milstein, and stochastic Runge-Kutta). GNW uses libSDE for the simulation of noise in the dynamics of gene networks.
libSDE is open-source, we invite developers interested in extending this library to join the project.