Detail projektu
PGine: Py/Bioconda software package for calculation of polygenic risk score in plants
Období řešení: 1. 3. 2023 – 28. 2. 2024
Typ projektu: grant
Kód: FEKT/FIT-J-23-8274
Agentura: Vysoké učení technické v Brně
Program: Vnitřní projekty VUT
The most important scientific challenges connect to climate change. Prediction algorithms take an important role, including improving plant breeding according to new environmental conditions. Therefore, this project focuses on calculating human disease probability based on genotype information — polygenic risk score. This project's main goal is to adapt these algorithms to plant data in functional software. The software can be used to bring new insights into plant breeding and thus uncover possible solutions to the climate crisis.
Hurta Martin, Ing. (UPSY)
Provazník Valentine, prof. Ing., Ph.D. (UBMI)
Sekanina Lukáš, prof. Ing., Ph.D. (UPSY)
2023
- HURTA, M.; SCHWARZEROVÁ, J.; NAGELE, T.; WECKWERTH, W.; PROVAZNÍK, V.; SEKANINA, L. Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). Istanbul: Institute of Electrical and Electronics Engineers, 2023.
p. 3782-3787. ISBN: 979-8-3503-3748-8. Detail - HURTA, M.; SCHWARZEROVÁ, J.; PROVAZNÍK, V.; WECKWERTH, W.; WALTHER, D.; SEKANINA, L. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm: 2023.
p. 49-49. Detail