With a background in the statistical mechanics of disordered systems, my research focusses on the interface between statistical physics and molecular biology. At the centre is the relationship between fluctuations and noise in biological systems, the corresponding statistical ensembles, and biological function. This connection emerges at very different levels and timescales, from stochastic modeling of gene expression to the population dynamics of regulatory DNA.
SEEK ID: https://fairdomhub.org/people/343
Location: Germany
ORCID: Not specified
Joined: 23rd Feb 2011
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SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
Bistable switches are the key elements of the regulatory networks governing cell development, differentiation and life-strategy decisions. Transcriptional noise is a main determinant that causes switching between different states in bistable systems. By using the human pathogen Streptococcus pneumoniae as a model bacterium, we will investigate how transcriptional fidelity and processivity influence (noisy) gene expression and participate in bistability. To study this question, we will use both ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=163
Organisms: Streptococcus pneumoniae
Abstract (Expand)
Authors: Michal Kolar, Jörn Meier, Ville Mustonen, Michael Lässig,
Date Published: 21st Nov 2012
Publication Type: Not specified
PubMed ID: 23171476
Citation:
Abstract (Expand)
Authors: Lilia Perfeito, Stéphane Ghozzi, , Karin Schnetz, Michael Lässig
Date Published: 21st Jul 2011
Publication Type: Not specified
PubMed ID: 21814515
Citation:
Abstract (Expand)
Authors: Marta Łuksza, Michael Lässig,
Date Published: 27th Nov 2009
Publication Type: Not specified
PubMed ID: 21231375
Citation: