Seminar

Abstract: Understanding how cells position themselves correctly in multicellular environments is a fundamental challenge in developmental biology. We use the invariable embryogenesis of C. elegans and a modelling approach to better understand the underlying mechanisms driving cellular movements. We developed a simulator to model the...

Heterogeneity in cancer is a consequence of both irreversible genetic changes and reversible transcriptional changes. Melanoma is prime example for this since on the genomic level melanomas have a high mutational burden leading to inter and intra-tumor heterogeneity while on the transcriptomic level they can...

In the era of the rise against statistical significance: what have we (not) learnt from millions of scientific papers with P-values

The diversity of repertoires of B-cell and T-cell receptors is generated by a stochastic process of gene rearrangement called VDJ recombination, and is later sculpted by selection, clonal proliferation, and somatic hypermutations. I will show how these processes can be learned quantitatively from high-throughput repertoire...

Inverse problem : an application in brain imaging and in cancerology Inverse problem is a class of models in which we try to determine the causes of a phenomenon from the experimental observations of its effects. During my presentation, I will speak about two inverse...

Simon Dellicour, ULB Landscape phylogeography - Using viral gene sequences to compare and explain the heterogeneous spatial dynamics of virus epidemics