June 2014 - New Publication
Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation.
Jean Karime Henriche and coworkers showed how a combination of bioinformatic tools to integrate public biological data can be used to make prediction on genes involved in cellular functions of interest.
In the link below from the iBioseminar website, watch Jan Ellenberg explaining how to perform high throughput content imaging screening with an update on the recent technologies developed in our lab and EMBL.
Our group is an international interdisciplinary team drawing its members from biology, physics, chemistry, computer science and engineering. The overarching theme of the lab is to understand the molecular mechanism of the nuclear division cycle in a comprehensive manner in the physiological context of the intact living cell. To achieve this we develop fluorescence-based imaging technologies to assay cellular functions non-invasively, automate imaging to address all molecular components and computationally process image data to extract biochemical and biophysical parameters in order to generate mechanistic understanding and predictive models. Our biological questions are currently focused on three areas.