Boolean networks for modeling and analysis of gene regulation

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49 Seiten
49 Seiten
Veröffentlichung
2011-05-29Authors
Zhou, Dao
Müssel, Christoph
Lausser, Ludwig
Hopfensitz, Martin
Kühl, Michael
Bericht
Faculties
Fakultät für Ingenieurwissenschaften und InformatikSeries
Ulmer Informatik-Berichte
Abstract
Gene-regulatory networks control the expression of genes and therefore the phenotype of cells. Modeling and simulation of such networks can provide deep insights into the functioning of cells. Boolean networks are a commonly used technique to model gene-regulatory networks. We introduce methods to construct Boolean networks from literature knowledge and to analyze their dynamics. In particular, methods to identify and analyze attractors are presented. In simulations on three biological networks, we analyze the robustness of attractors. These evaluations confirm the biological relevance of previously identified attractors.
Date created
2009
Subject headings
[GND]: Bioinformatik | Boolesches Netz | Molekularbiologie[LCSH]: Genetic regulation
[DDC subject group]: DDC 004 / Data processing & computer science
Metadata
Show full item recordDOI & citation
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-3907
Zhou, Dao et al. (2011): Boolean networks for modeling and analysis of gene regulation. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-3907
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