This seminar in the master's degree program starts April 18th. The venue is Philosophenweg 12 / SR (3rd floor).


Working knowledge in Statistical Physics


Early work using microscopy with fluorescent markers established that chromosomes are not randomly organized in the nucleus. Exactly how the chromosomes are organized could not be further revealed by this method, even though multi-color experiments pushed the experimental boundary. end-to-end distance At this stage, several models have been proposed how the genome is physically organized in space. With the chromosome conformation capture technology (3C) new data on the organization became available. Whereas the information coming from the microscopy experiments gives a physical relationship between points in space, i.e., euclidean distances on single cell data, the 3C (and later the HiC data) yields topological information losing the embedding into euclidean space, i.e., only neighborhood relationships are revealed attached with a certain probability. Furthermore, the information represents an average over many cells. In a way, this is very much information one would classify as of mean-field type. Thus, the challenge is to develop a model that is consistent with the mean-field result in the sense that it succeeds to re-embed the topological information into euclidean space.

Here you can find the slides of a talk on the subject.


Each topic has enough substance so that it can be assigned to more than one student.

Literature (General)

More references will be supplied once the seminars have been assigned.