Author Archives: Katja Nowick

We have been featured in the German newspaper Tagesspiegel. Here is the English translation of that article.  

Our paper about CoDiNA, a method for comparing coexpression networks, has been accepted for publication by PLoS One. To our knowledge, it is the first method that allows for a comparison of transcriptome-wide networks and of as many networks as … Continue reading →

Yao-Chung is finally present in Berlin. Welcome Yao-Chung!

For a few months now, we have a couple of new group members: Postdoc: Vladimir Bajić PhD students: Tima Zebardast and Yao-Chung Chen Due to the COVID-19 situation, they haven’t physically joined us yet in Berlin. But we hope that … Continue reading →

We have published an invited headline review in the Journal of the Royal Society Interface on the Construction, comparison and evolution of networks in life sciences and other disciplines. Our paper describes how biological networks change over time – in relatively … Continue reading →

We are offering a fully funded PhD position in our lab to work on the analysis of gene expression differences between brain of Alzheimer’s patients and controls. The focus will be on mono-allelically expressed genes to test the hypothesis that … Continue reading →

We have acquired funding for a PhD position within a project that investigates a relationship between brain size and cognitive abilities in rodents from Chernobyl. We are interested in deciphering molecular signatures that determine differences in brain size and behavior. … Continue reading →

We currently have an opening for a postdoc, with some flexibility about the actual research topic. The postdoc is expected to propose and develop a research project that fits to the general interests of the group. Requirements for the position are … Continue reading →

Have a look at our commentary in Evolutionary Bioinformatics. We provide some background on our tool for testing selection of ncRNA genes, the SSS test. This tool should be useful for any new genome project or biomedical study to gain further … Continue reading →

Our paper in GBE describes human population differences in genes coding for gene regulatory factors. Surprisingly many of them seem to evolve under positive selection, among them long clusters of KRAB-ZNF genes. Some of the population differences might explain differences … Continue reading →