SloppyCell is a software environment for simulation and analysis of biomolecular networks developed by the groups of Jim Sethna and Chris Myers at Cornell University.
Examples of models developed in SloppyCell can be found at Jim Sethna's Gene Dynamics page.
October 10th, 2007: New documentationAs part of his thesis, Ryan Gutenkunst has written both user and developer documenation for SloppyCell. They are linked below.
July 21st, 2007: SloppyCell 0.81 releasedAdditions include support for scale factor priors, a new Monte Carlo algorithm that recalculates the sampling matrix each step, and numerous bug fixes.
See our download page.
May 9th, 2007: SloppyCell 0.8 released!SloppyCell continues to evolve rapidly.
This release sees very signficant speed increases. We've added support for automatically building C versions of all the integration functions. In testing on various networks, this yields a speed up of between a factor of 5 and 20 depending on the application. Additionally, network compilation and sensitivity integration are faster.
Finally, algebraic rules are now fully supported, and we have moved completely to using DASKR as our integrator.
See our download page.
January 23rd, 2007: SloppyCell 0.6 released!Lots of work over the past few months. The parallel processing code has been completely rewritten. Preliminary support for algebraic rules is also in. (Many thanks to Jordan Atlas for his help.)
Grab it from our download page.
$Date: 2007/10/02 01:38:39 $