A primer on the Bayesian approach to high-density single-molecule trajectories analysis.

janelia7_blocks-janelia7_biblio_header | block
Biophysical Journal. 2016 Mar 29;110(6):1209-15. doi: 10.1016/j.bpj.2016.01.018
View Article on
A primer on the Bayesian approach to high-density single-molecule trajectories analysis. Transcription Imaging
Beheiry M, Türkcan S, Richly MU, Triller A, Alexandrou A, Dahan M, Masson J
janelia7_blocks-janelia7_biblio_abstract | block

Abstract

Tracking single molecules in living cells provides invaluable information on their environment and on the interactions that underlie their motion. New experimental techniques now permit the recording of large amounts of individual trajectories, enabling the implementation of advanced statistical tools for data analysis. In this primer, we present a Bayesian approach toward treating these data, and we discuss how it can be fruitfully employed to infer physical and biochemical parameters from single-molecule trajectories.

PMID: 27028631 [PubMed - indexed for MEDLINE]

node:body | entity_field
janelia7_blocks-janelia7_biblio_authors | block

Janelia Authors

janelia7_blocks-janelia7_biblio_tools | block