Journal
NATURE METHODS
Volume 12, Issue 9, Pages 838-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3483
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Funding
- US National Institutes of Health (NIH) National Institute of Mental Health [U01 MH106011]
- US National Science Foundation Physics of Living Systems [PHY 1305537]
- NIH grant from the National Institute of Neurological Diseases and Stroke [NS083085-19]
- Leukemia & Lymphoma Society
- NIH grant from the National Institute of General Medical Sciences [GM088313]
- Austrian Science Fund
- Division Of Physics
- Direct For Mathematical & Physical Scien [1305537] Funding Source: National Science Foundation
- Austrian Science Fund (FWF) [J 3478] Funding Source: researchfish
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Live-cell imaging and particle tracking provide rich information on mechanisms of intracellular transport. However, trajectory analysis procedures to infer complex transport dynamics involving stochastic switching between active transport and diffusive motion are lacking. We applied Bayesian model selection to hidden Markov modeling to infer transient transport states from trajectories of mRNA-protein complexes in live mouse hippocampal neurons and metaphase kinetochores in dividing human cells. The software is available at http://hmm-bayes.org/.
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