Python tools for Markov state models
Share 
Follow 
 
AboutDownloadsDocumentsForumsSource CodeIssues

Enable painless construction and analysis of Markov state models

This project is a collection of Python modules for generating, analyzing, and interpreting Markov state models. Some features: objects to represent and sample from transition matrices, Singhal's sensitivity analysis, clustering on arbitrary data objects.

0

downloads

3

forum posts

Last updated
Dec 18, 2007
Image not available
Daniel Ensign

People also viewed

Image not available
Real-time OpenSim
extension
Image not available
Molecular
Simulation
Trajectories...
Image not available
Ion Simulator
Interface
Image not available
APPLICATION OF
OPENSIM TO CLINICAL SIMULATIONS WITH...
Image not available
MemtestG80 and
MemtestCL: Memory
Testers for CUDA-...
Image not available
MITK-GEM: Software
pipeline to
GEnerate Models...
Image not available
ToRNADo
Image not available
Predicting
allosteric
communication in...

See all

SimTK is maintained through Grant R01GM124443 01A1 from the National Institutes of Health (NIH). It was initially developed as part of the Simbios project funded by the NIH as part of the NIH Roadmap for Medical Research, Grant U54 GM072970.

Our Pledge and Your Responsibility

  About   Join
Version 4.2.2. Website design by Viewfarm. Icons created by SimTK team using art by GraphBerry from www.flaticon.com under a CC BY 3.0 license. Forked from FusionForge 6.0.5.
Feedback