Dr. Torsten Pook,
Aktuelle Forschung und Projekte
Wissenschaftlicher Mitarbeiter- Projekt: "Accessing the genomic and functional diversity of maize to improve quantitative traits" (MAZE)
Mitgliedschaft in wissenschaftlichen Vereinigungen
- Deutsche Gesellschaft fuer Zuechtungskunde (DGfZ)
Studium
Wirtschaftsmathematik an der Universität Mannheim- Titel der Masterarbeit: "Forecast of daily shipments in logistics" (in Kooperation mit DB Schenker)
- Titel der Bachelorarbeit: "Analysis of the imputing algorithm BEAGLE"
Arbeitserfahrungen
6/15 - 9/16: DB Schenker- Werkstudent in Management board: Finance and Controlling
- Werkstudent in Finance & Controlling
Lehre
- M.Agr.0186 Multivariate statistics with application in agriculture sciences
- M.Agr.0138 Selection theory, design and optimisation of breeding programs
- Hilfswissen schaftliche Taetigkeit: Tutor in Lineare Algebra I (HWS 12/13, HWS 13/14)
- Hilfswissenschaftliche Taetigkeit: Tutor in Analysis II (FSS 13)
Publikationen
- Pook T, Schlather M, de los Campos G, Mayer M, Schoen CC, Simianer H (2019) HaploBlocker: Creation of subgroup specific haplotype blocks and libraries. Genetics
- Pook T, Schlather M, Simianer H (2020) MoBPS – Modular Breeding Program Simulator. G3: Genes, Genome, Genetics, 10(6):1915-1918
- Pook T, Mayer M, Geibel J, Weigend S, Cavero D, Schoen CC, Simianer H (2020) Improving imputation quality in BEAGLE for crop and livestock data. G3: Genes, Genome, Genetics, 10(1):177-188
- Pook T, Freudenthal J, Korte A, Simianer H (2020) Using local convolutional neural networks for genomic prediction. Frontiers in Genetics, 11:1366.
- Pook, T. , Nemri, E., Gonzalez Segovia, E.G., Simianer, H., Schoen, C.C., (2021), Increasing calling accuracy, coverage, and read depth in sequence data by the use of haplotype blocks, PloS Genetics 17 (12): e1009944
Liste der Software
MoBPS- Published via CRAN: https://cran.r-project.org/web/packages/MoBPS/index.html and available at https://github.com/tpook92/MoBPS and www.mobps.de
- Available at https://github.com/tpook92/HaploBlocker
- Available at https://github.com/tpook92/HBimpute
- Available at https://github.com/evojgani/EpiGP
Wissenschaftliche Preise
- EAAP Scholarship 2017
- Werner-Oettli-Award (2016) - Best Master thesis of the year
Workshops
- Using gene bank material for livestock populations: case studies and optimization using the MoBPS software
- Simulation of animal and plant breeding programs
- Deep Learning - from theory to application in genetics
Liste der patente
- EP20201121.9 Haplotype-Block-based Imputation of Genomic Markers- Patent applicants: KWS SAAT SE & Co. KGaA and University of Goettingen.
- Inventors: Torsten Pook & Adnane Nemri