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Hidden Markov Models for Molecular Motors 1.0

  Date Added: August 14, 2013  |  Visits: 271

Hidden Markov Models for Molecular Motors

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Hidden Markov models are used to describe the "stepping" behavior of molecular motors, as measured by single-molecule fluorescence techniques. Our HMM implementation is more versatile than the one described by Milescu, et al. Biophys. J. 91:3135-3150 and can be used as a "blind" step detector or to find rate constants and step sizes directly from a measured time course of positions. A manuscript is in preparation (write to me for a copy at fred.sigworth@yale.edu). Meanwhile a readme file and example script demonstrate the use of the functions.

Requirements: No special requirements
Platforms: Matlab
Keyword: Behavior Constants Demonstrate Detector Directly Fredsigworthyaleedu Functions Manuscript Molecular Positions Preparation Quotblindquot Readme Script Sizes Write
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License: Freeware Size: 829.44 KB
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