Analysis and dynamic modelling of complex systems

With the recent advent of rapid genome sequencing and other high throughput measurement techniques, the biological sciences are<br>entering an unprecedented age of discovery. Biology is faced with a lot of facts that need an explanation. But while physics uses mathematics to represent the laws of nature, biology so far mainly relies on words and cartoon like diagrams.<br>In order to make sense of the huge amount of data generated by the recent experimental advances, a reduction to basic laws underlying biological organisms is necessary. Here physics with its rich experience in modelling complex systems could play a much more important role than that of an ancillary science.<br>In the following, different biological systems are investigated in order to reach a model based understanding. This mathematical description then helps in achieving insights into the functional coherences of the system. To this end quantitative dynamic measurements are made. Then mathematical models are proposed and validated using this experimental data.

Author dc:creator

• Faller, Daniel

Contributors dc:contributor

• Timmer, Jens

• Modellselektion
• Bootstrap

Repository record source_url

https://freidok.uni-freiburg.de/data/777

OAI identifier oai:identifier

oai:freidok.uni-freiburg.de:777