Thesis supervisor: József Baranyi
Location of studies (in Hungarian): University of Debrecen Abbreviation of location of studies: DE
Description of the research topic:
Health and nutrition are primarily linked in the context of the human genome and microbiome. The genome is a set of genes defining the immune system and the internal environment in the GIT (Gastro-Intestinal Track) where the microbes help to break down the food that we eat.
Both genome and microbiome have been increasingly researched by computational methods, data mining and bioinformatics. The key here is the recognition that, with the advent of “big data” (the explosion of observations stored electronically), new patterns emerge, challenging many previously rock-solid dogmas. These patterns can only be detected by advanced computational and statistical tools and this project is an example for the interdisciplinary science of computational nutrition.
A database will be built to find patterns between constantly evolving diets and the big three diseases characteristic of later life: cancer, cardiovascular diseases and dementia. Data from publications as well as internet databases will be browsed by a specifically created data-mining software tool (a “crawler”), and the results will be analysed and visualized by network science and statistical methods. The research will contribute to a related big programme, Foodome, (https://www.barabasilab.com/projects), of the world-renowned Barabási Lab, and will be carried out in collaboration with partners from medical and food sciences.
The ideal PhD candidate is an MSc in informatics with strong affinity to food/health-related life sciences or vice versa. To be able to work effectively with international collaborators, it is vital that that candidate possesses (or develop, by the start of the project) a good standard of English.
Number of students who can be accepted: 2
Deadline for application: 2020-05-15
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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