Members of the IMBB institute and of the BIL lab are currently providing an introductory course to R open to FORTH researchers/post-doc/students/staff that rare interested in approaching the R software and language for the first time. The lessons will take place in the Γ100 room at 9:15 am every Wednesday.
Our group is presenting our latest discoveries and newly developed Causal Discovery algorithms in the workshop “Case Studies of Causal Discovery with Model Search”. The presentation will be recorded and be made publicly available. Some of this work stems from a close collaboration with our Karolinska Institutet STATegra partners in the Computational Medicine Unit. The workshop includes an impressive panel of invited speakers, held in one of the “birthplaces” of Causal Discovery. We hope to see and personally meet many Causality enthusiasts in the workshop.
Our group participated in the first year’s STATegra project meeting, held in the Imperial College London. The meeting was a great success. Novel data will be available soon, while new methods and tools are continuously being developed by the consortium. New upcoming events will be held this March. STATegra has a new, updated web-site containing – among others – information about upcoming events (stategra.eu).
This year, our group’s research has transcended the computer science and bioinformatics publishing forums and, through collaborations with prestigious biological groups, has participated in publications in high-impact journals of the biology community. The Garini’s lab research has shown that that DNA damage triggers a chronic auto-inflammatory response leading to fat depletion published in Cell Metabolism. The Strouboulis lab studied the role of GATA-1 in mouse fetal liver erythropoiesis published in Nucleid Acids Research.