Analysis of single-molecule FRET trajectories using hidden Markov modeling.

By S. McKinney, Chirlmin Joo, T. Ha. Biophysical Journal, 2006

752 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4c7a56d2e3aecc36fabe215b01ea7be9b52fddec

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In Atomic and Molecular Physics, and Optics

In Electrical and Electronic Engineering

In Molecular Biology

Citations in the corpus

Learning rates and states from biophysical time series: a Bayesian approach to model selection and single-molecule FRET data. (2009, methodology): “According to the convention of the field, we model all transition probabilities as multinomial distributions and all emission probabilities as Gaussian distributions (18,22), ignoring for the moment the complication of modeling a variable distributed on the interval (0, 1) with a distribution of sup”
Stochastic mechano-chemical kinetics of molecular motors: A multidisciplinary enterprise from a physicist’s perspective (2012, methodology): “Hidden Markov Model (HMM) [466, 467, 468, 469, 470] has been applied to analyze FRET trajectories [471, 472], stepping recordings of molecular motors [473, 474], and actomyosin contractile system [475] to extract kinetic information.”
A practical guide to single-molecule FRET (2008, methodology): “For more complicated transitions between distinctly identifiable multiple states, a hidden Markov model analysis can be used for an unbiased estimate of the number of FRET states populated to estimate the rates of interconversion among them and to determine the most likely time evolution of each sta”
Principles of maximum entropy and maximum caliber in statistical physics (2013, neutral): “…Milescu, Akk, and Sachs, 2005; Samoilov, Plyasunov, and Arkin, 2005; Warren and ten Wolde, 2005; Flomenbom and Silbey, 2006; Lipshtat et al., 2006; McKinney, Joo, and Ha, 2006; Schultz et al., 2007; Cao and Silbey, 2008; Raj and van Oudenaarden, 2008; Wang, Xu, and Wang, 2008; Çağatay et al.,…”