A short CV

Eckhard Lehmann holds a Masters equivalent degree in Bioinformatics from the University of Applied Sciences Weihenstephan in Freising. He worked at Roche Pharma before he joined The Mathworks in January 2007, where he did internal customer support in computational biology and software development. His current position at The MathWorks is in Application Engineering, where he supports customers in the pharmaceutical and Life Sciences industry. He is experienced with programming and software engineering with a special focus on statistical data analysis and pattern recognition as well as modelling and simulation in Bioinformatics.

Tutorial Abstract:

Modelling of common biological patterns in SimBiology

As biological systems are very complex, their creation and analysis is extremely challenging. Nevertheless, there are recurring elements such as phosphorylation, cyclic substance concentration and Gene activation that serve as building blocks in more complex biological systems. These basic modules are part of many cellular activities and pathways.

In this tutorial we present a few of these patterns, illustrate their coexistence within more complex systems and present approaches to model them with SimBiology. We will show how to use MATLAB and SimBiology plus several other tools like Parallel Computing toolbox to create, simulate and analyze such models. The purpose is also to give an overview on the usage of these products for tasks in Systems Biology.

Contents:

- Overview and introduction to SimBiology
- Building and analyzing models with SimBiology and MATLAB
- Gene regulation models
- The Single input module pattern
- Parameter estimation, sensitivity analysis and conserved moieties
- Parallel computing

Intended audience:

Scientists in the area of computational biology and pharmaceutical research, who like to see how MATLAB and especially SimBiology can be utilized to effectively solve systems biology problems. No prior experience with MATLAB is necessary, but might be helpful.