vbTPM is an analysis package aimed at analyzing time series from a single molecule technique called tethered particle motion, which are common for in vitro investigations of protein-nucleic acid interactions.

vbTPM uses a variational approach to hidden Markov models, and resembles recent methods for single molecule FRET (http://vbfret.sourcefore.net/) and single particle tracking (http://vbspt.sourceforge.net/) data.

2014-08-12: NAR manuscript in print! http://dx.doi.org/10.1093/nar/gku563

2014-06-11: manuscript accepted for publication in Nucleic Acids Research.
Preprint: http://arxiv.org/abs/1402.0894

If you use this code, please cite our work:

Stephanie Johnson, Jan-Willem van de Meent, Rob Phillips, Chris H. Wiggins, and Martin Lindén
Multiple LacI-mediated loops revealed by Bayesian statistics and tethered particle motion.
Nucleic Acids Research (2014), doi: 10.1093/nar/gku563

Project Activity

See All Activity >

Follow vbTPM

vbTPM Web Site

Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of vbTPM!

Additional Project Details

Registered

2013-07-09