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Research
Interests
"Making Sense out of Data; Providing
Meaning to Models"
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Systems Theory of Complex Systems
The Systems Biology and Bioinformatics research group at Rostock University (O.Wolkenhauer) focusses
on the development of systems- and control methodologies, using mathematical modelling and
statistical data analysis applied to complex dynamical systems.
Although these methodologies that can be applied in general,
we concentrate on applications in molecular and cell biology.
Systems Biology investigates signal- and systems-approaches
to study dynamic processes within and between biological cells,
specifically how cells interact and react to stimuli. The
aim is to understand the organisation and behaviour of those
components that make up a living system. Using statistical
analysis of experimental data and integrating biological information
from databases, we use mathematical modelling and simulation
to understand two fundamental dynamic processes: gene expression, i.e.,
the process by which information, stored in
the DNA, is facilitated to generate the molecules that are
the building blocks and mediators in cellular organisms. Secondly
aim at an understanding of cell signalling, i.e.,
the processing of signals by which the cell acts and reacts
to other cells and its environment. The complexity of these
molecular systems is fascinating and provides many interesting
challenges for those who use mathematical modelling and simulation. |
Wir sind auf die Analyse komplexer Daten und
Prozesse spezialisiert. Organische Systeme haben eine größtmögliche
Komplexität und stellen somit eine besondere Herausforderung
dar. Unser systemtheoretischer Ansatz ist jedoch auf viele
Prozesse, wie z.B. in der Wirtschaft, Geschäfts- und Produktionsabläufe
anwendbar. Unsere Erfahrungen liegen dabei auf der Analyse
von Daten, der Modellbildung und Simulation mit dem Ziel einer
verbesserten Entscheidungsfindung und Planung. Unsere Analyse
komplexer dynamische Zusammenhänge führt zu einer Optimierung
und Vereinfachung steuerbarer Prozesse in dem wir kritische
Systemvariablen und Zustände mathematisch ermitteln und durch
computergestütze Simulation verschiedene Szenarien "durchspielen".
Unsere Expertise in der Untersuchung multivariater Daten und
dynamischer Prozesse steht Ihnen in Beratungsgesprächen und
Projekten zur Verfügung - nutzen Sie unsere analytischen Fähigkeiten.
Für weitere Informationen wenden Sie sich an Professor Olaf
Wolkenhauer, Email: ow at informatik dot uni-rostock dot de,
Tel.: 0381 498 7570.
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Systems Biology for Medical Applications (SysBioMed):
SysBioMed is a EU-funded Strategic Support Action within the FP6.
Its core objective is to explore the potential of systems biology for medical research, therapy and drug development.
The other main goal is the formation of a network of young scientists who define the framework for future research programmes in
'Medical Systems Biology' (MSB). Preparatory and disease focused exploratory workshops form the core of SysBioMed.
They offer valuable opportunities for young scientists to enter this field, for theoreticians to meet experimentalists,
for industry researchers to meet academic scientists and should help to bridge the gap between the scientific communities
in systems biology and medical/clinical research. SysBioMed is expected to provide valuable strategic information for the
assessment of MSB's potential, thus laying groundwork for future research initiatives.
Research Keywords:
Systems and Control Theory, Dynamic Systems,
Time Series, System Identification, Pattern Recognition, Data
Mining, Uncertainty Techniques, Systems Biology, Bioinformatics.
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Metabolism |
Signalling |
Gene Expression |
| Alzheimer's |
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| Chorea Huntington |
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| Cancer |
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| Parkinson |
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| Diabetes |
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| Tuberculosis |
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| Radiation |
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| Microorganisms |
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Specific Projects:
Click here for a poster, giving a one-page overview of current research projects and collaborations.
BMBF FORSYS Junior Research Groups:
While the above list looks extensive, covering a wide range of systems,
there is a clear systems-theoretic focus. The names of components and their structural organisation may differ from system to system,
the nonlinear dynamic nature of interactions and the observed behaviour are quite similar. We therefore concentrate on the discovery of universal
principles by which cells function (grow, die, proliferate, differentiate).
Funded Collaborations:
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MRC Clinical Sciences Centre, Imperial
College, London, UK
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Center for Microbial Biotechnology, Technical
University of Denmark
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Max Delbruck Centre, Berlin-Buch
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Case Western Reserve University, Cleveland
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Seoul National University, Korea
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Hamilton Institute, Ireland
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Stellenbosch Institute of Advanced Studies,
South Africa
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University of Manchester, U.K.
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Fraunhofer-Chalmers Institute for Industrial
Mathematics, Goteborg, Sweden
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InNetics AB, Linkoping, Sweden
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BioMath GmbH, Rostock
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Veterinary Laboratories Agency (VLA),
Weybridge, U.K.
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German Cancer Research Institute (DKFZ),
Heidelberg
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Beatson Institute for Cancer Research,
Glasgow, U.K.
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Freiburg Centre for Data Analysis and
Modelling (FDM), University of Freiburg
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Instituto de Investigaciones Marinas (C.S.I.C),
Vigo, Spain
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Institute of Biomechanics, Bulgarian Academy
of Sciences, Sofia
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Dept. of Cell and Molecular Biology, University
of Goteborg, Sweden
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Dept. of Neurology, University of Rostock
Sponsors / Partners:
Our research is supported by the regional ministry of Mecklenburg Vorpommern,
the DFG (German Research Foundation), the European Union, the BMBF (Federal Ministry for Education and Research), the Helmholtz Society,
DEFRA (UK Department for the Envionment, Food, Rural Affairs), the University of Rostock as well as industrial partners. |
   
 
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