ETAPS 2019
Sat 6 - Thu 11 April 2019 Prague, Czech Republic
Sat 6 Apr 2019 11:00 - 11:30 at S9 - Modelling Chair(s): Tatjana Petrov

The understanding of mechanisms that control epigenetic changes is an important research area in modern functional biology. Epigenetic modifications such as DNA methylation are in general very stable over many cell divisions. DNA methylation can however be subject to specific and fast changes over a short time scale even in non dividing (i.e. not-replicating) cells. Such dynamic DNA methylation changes are caused by a combination of active demethylation and de novo methylation processes which have not been investigated in integrated models. Here we present a hybrid (hidden) Markov model to describe the cycle of methylation and demethylation over (short) time scales. Our hybrid model describes several molecular events either happening at deterministic points (i.e. describing mechanisms that occur only during cell division) and other events occurring at random time points. We test our model on mouse embryonic stem cells using time-resolved data. We predict methylation changes and estimate the efficiencies of the different modification steps related to DNA methylation and demethylation.

Sat 6 Apr
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

11:00 - 12:30: ModellingHSB at S9
Chair(s): Tatjana PetrovUniversität Konstanz
11:00 - 11:30
A Hybrid HMM Approach for the Dynamics of DNA Methylation
Charalampos KyriakopoulosSaarland University, Pascal GiehrSaarland University, Alexander LückSaarland University, Jörn WalterSaarland University, Verena WolfSaarland University
11:30 - 12:00
Controlling noisy expression through auto regulation of burst frequency and protein stability
Pavol BokesComenius University, Abhyudai SinghUniversity of Delaware
12:00 - 12:30
Using a hybrid approach to model central carbon metabolism across the cell cycle
Cecile MoulinLaboratoire de Recherche en Informatique, Université Paris-Saclay & UMR CNRS 8623, Laurent TournierMaIAGE, INRA, Université Paris-Saclay., Sabine PeresLaboratoire de Recherche en Informatique, Université Paris-Saclay & UMR CNRS 8623.