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BMBF Junior Research Group: grant awarded for Dagmar Waltemath

last modified 2012-03-06 15:18

The Federal Ministry of Education and Research (BMBF) has approved a proposal for a Junior Research Group led by Dr.-Ing. Dagmar Waltemath (first-generation PhD student of the research training group) on ' Tools and concepts for Simulation Experiment Management in Systems Biology (SEMS)'. Congratulations! See the description below for details:

BMBF Junior Research Group: Tools and concepts for Simulation Experiment Management in Systems Biology (SEMS): Improving the production of simulation experiments through standard formats and management support
(http://www.sbi.uni-rostock.de/research/research-projects/single/33)

In order to compare scientific results in the life sciences but also to integrate the outcomes from partners in large-scale research collaborations, standardization is necessary. The standardization and exchange of protocols by which data are generated are already widely promoted. However, for the same reasons that apply to wet-lab data generation, results from projects that involve mathematical modelling and computer simulations must be documented to improve exchange, reuse and reproducibility. For example, in order to reproduce a simulation plot in a publication it is often not sufficient to know the equations of the model. The choice of numerical algorithms and their internal settings can influence the simulation results. In parameter estimation the results are often driven by random number generation, requiring statistical information on the outcomes of parameter value optimization. Metainformation on simulation experiments improves the re-use of simulations, supports the development of new models from existing ones and helps reducing errors, thereby improving the reproducibility of scientific results in the field of systems biology.

In this project we investigate techniques for the encoding of simulation experiments. The project covers the standardized encoding of experiments in an XML format, supporting a range of types of simulation experiments, and including the versioning of both, simulation experiment descriptions and associated models. The exchange of simulation experiment descriptions, together with existing models, will help reduce the development time of models in systems biology, will help the reproducibility of publications and support training in systems biology.


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