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
Alexander Schug John von Neumann Institute for Computing, Jülich Supercomputer Centre, Forschungszentrum Jülich Faculty of Biology, University of Duisburg-Essen Predicting Protein and RNA Structures via data inference On the molecular level, life is orchestrated through an interplay of many biomolecules. To gain any detailed understanding...