Thesis supervisor: Gergely Szöllősi
co-supervisor: Imre Derényi
Location of studies (in Hungarian): ELTE Abbreviation of location of studies: ELTE
Description of the research topic:
"Cancer is a genetic disease fueled by somatic evolution. Despite advances in the molecular biology of cancer associated genes and the recent surge in genomics data available, our understanding of the evolutionary mechanisms that lead to cancer is limited and cancer mortality rates have changed little in the last few decades. Until we unravel cancer's basic principles, the battle against it can only progress in inches, rather than in miles. To address the problems quantitatively, a new field called the ""physics of cancer"" has emerged. In the context of this emerging field the Evolutionary Genomics Research Group aims to understand the evolutionary process that leads to the breakdown of the hierarchical organization of healthy tissues and the emergence of tumors, using evolutionary models, computer simulations, and sequence analysis.The PhD candidate will work with us to explore the the structural and dynamical properties differentiation hierarchies that minimise somatic selection. He or she will use mathematical models of tumor evolution, implementing stochastic computer simulations and performing analytical calculations. References:
Derenyi, I & Szollosi, GJ Hierarchical tissue organization as a general mechanism to limit the accumulation of somatic mutations Nature Communications 14545 (2017) https://doi.org/10.1038/ncomms14545"
Required language skills: English Number of students who can be accepted: 1
Deadline for application: 2018-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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