A tumor consists of an expanding population of clonal cells that differentiate to a bigger or lesser extent and disperse to nearby or distant tissues. We have leveraged state-of-the-art approaches from statistical phylogenetics, phylodynamics, and phylogeography to exploit the information contained in single-cell whole genomes from multiregional tumor samples to understand this evolutionary process. This talk will present our current progress in obtaining, processing, and analyzing single-cell NGS data from colorectal tumors. I will show how proper methods from organismal evolutionary biology can be ported to the somatic level to decipher complex tumoral dynamics over time and space with unprecedented detail.
Conference report
Anglès
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors; High performance computing; Càlcul intensiu (Informàtica)
http://creativecommons.org/licenses/by-nc-nd/4.0/
Open Access
Attribution-NonCommercial-NoDerivatives 4.0 International
Congressos [11159]