Reconstruction of transcriptional dynamics from gene reporter data using differential equations. (2008)

First Author: Finkenstädt B

Abstract

Promoter-driven reporter genes, notably luciferase and green fluorescent protein, provide a tool for the generation of a vast array of time-course data sets from living cells and organisms. The aim of this study is to introduce a modeling framework based on stochastic differential equations (SDEs) and ordinary differential equations (ODEs) that addresses the problem of reconstructing transcription time-course profiles and associated degradation rates. The dynamical model is embedded into a Bayesian framework and inference is performed using Markov chain Monte Carlo algorithms.

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/bioinformatics/btn562

PubMed Identifier: 18974172

Publication URI: http://europepmc.org/abstract/MED/18974172

Type: Journal Article/Review

Volume: 24

Parent Publication: Bioinformatics (Oxford, England)

Issue: 24

ISSN: 1367-4803