BayFish: Bayesian inference of transcription dynamics from population snapshots of single-molecule RNA FISH in single cells

BayFish: Bayesian inference of transcription dynamics from population snapshots of single-molecule RNA FISH in single cells

Abstract Single-molecule RNA fluorescence in situ hybridization (smFISH) provides unparalleled resolution in the measurement of the abundance and localization of nascent and mature RNA transcripts in fixed, single cells. We developed a computational pipeline (BayFish) to infer the kinetic parameters...

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Bibliographic Details
Main Authors: Mariana Gómez-Schiavon, Liang-Fu Chen, Anne E. West, Nicolas E. Buchler
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Genome Biology
Subjects:
Gene expression
Stochastic process
Chemical master equation
Likelihood methods
Monte Carlo sampling
Bayesian posterior probability
Online Access:http://link.springer.com/article/10.1186/s13059-017-1297-9

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http://link.springer.com/article/10.1186/s13059-017-1297-9

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