Dynamical models of genetic regulatory networks.

It is nowadays generally acknowledged that the static information embedded in DNA sequences is not sufficient to understand biological complexity, and that a major challenge is that of understanding the mechanisms whereby gene expression is regulated. In this respect it is interesting to observe that an old model, that of Random Boolean Networks (RBNs for short) which is more than 40 years old, has recently proven able to describe experimental data made available by DNA microarray techniques.