Hidden Markov Models for Molecular Motors

A set of functions for analysing noisy recordings of the random stepping of molecular motors

Version 1.5.0.0 (792 ko)
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9 nov. 2011

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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 described in two 2010 papers by F. Müllner, S. Syed, P. Selvin and F. Sigworth, Biophysical J. 99:3684-3695 and 3696-3702. Meanwhile a readme file and example script demonstrate the use of the functions.

Citation pour cette source

Fred Sigworth (2026). Hidden Markov Models for Molecular Motors (https://fr.mathworks.com/matlabcentral/fileexchange/24697-hidden-markov-models-for-molecular-motors), MATLAB Central File Exchange. Extrait(e) le .

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Version Publié le Notes de version
1.5.0.0

Removed .mex files. Added citation of published papers describing the algorithms.
1.1.0.0

Updated version with a second example script and correction to the MAP estimation code.
1.0.0.0