bhmm 0.6.3
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Description:
bhmm 0.6.3
This project provides tools for estimating the number of metastable states, rate
constants between the states, equilibrium populations, distributions
characterizing the states, and distributions of these quantities from
single-molecule data. This data could be FRET data, single-molecule pulling
data, or any data where one or more observables are recorded as a function of
time. A Hidden Markov Model (HMM) is used to interpret the observed dynamics,
and a distribution of models that fit the data is sampled using Bayesian
inference techniques and Markov chain Monte Carlo (MCMC), allowing for both the
characterization of uncertainties in the model and modeling of the expected
information gain by new experiments.
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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