data 2 dynamics

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Workshop Data 2 Dynamics - D2D

September 23-25, 2009
Kardinal-Döpfner-Haus, Freising, Germany

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Aims and scope:

Life is an emergent property stemming from the dynamic interaction of genes and proteins thereby reliably self-organizing into complex, yet robust cells, organs and organisms. Insights into these systems, spanning several orders of magnitude in space and time, can only be gained through the large-scale acquisition and interpretation of dynamic data. Data may range from gene and protein expressions to transcriptomics and metabolic proling. Translation of these high-throughput data into coherent models of cellular regulation allowing to simulate, predict and control cellular behaviour is far from being resolved. Bioinformatics has contributed a lot to the analysis and understanding of large, yet static protein and gene network topologies, while modeling of dynamic signaling pathways has been restricted to small subsystems.

This workshop is dedicated to the integration of medium- to large-scale experimental data, statistical analysis methods and dynamic modeling approaches. The analysis requires the application of statistical methods for model inference and parameter estimation, model checking, as well as system theoretic approaches to reduce the inherent biological complexity to a computationally manageable size, while retaining essential dynamic system properties. Model building ideally incorporates heterogeneous data sources as well as prior knowledge from literature to design models that are able to create novel experimentally testable hypotheses.

The workshop covers  

  • Integration of biological data
  • Statistical analysis of high-throughput data
  • Model inference
  • Parameter estimation
  • System theory
  • Modeling of inherent indeterminacies

Confirmed Speakers

Organizers:

Fabian Theis, Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum München 

Hauke Busch, Freiburg Institute for Advanced Studies

Local Organization

Florian BlöchlInstitute for Bioinformatics and Systems Biology, Helmholtz Zentrum München