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Torsten Pook
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Improving imputation quality in BEAGLE for crop and livestock data
T Pook, M Mayer, J Geibel, S Weigend, D Cavero, CC Schoen, ...
G3: Genes, Genomes, Genetics 10 (1), 177-188, 2020
382020
HaploBlocker: creation of subgroup-specific haplotype blocks and libraries
T Pook, M Schlather, G de Los Campos, M Mayer, CC Schoen, ...
Genetics 212 (4), 1045-1061, 2019
302019
How array design creates SNP ascertainment bias
J Geibel, C Reimer, S Weigend, A Weigend, T Pook, H Simianer
PLoS One 16 (3), e0245178, 2021
262021
MoBPS-modular breeding program simulator
T Pook, M Schlather, H Simianer
G3: Genes, Genomes, Genetics 10 (6), 1915-1918, 2020
232020
Using local convolutional neural networks for genomic prediction
T Pook, J Freudenthal, A Korte, H Simianer
Frontiers in genetics 11, 561497, 2020
162020
Turning the PAGE – the potential of genome editing in breeding for complex traits revisited
H Simianer, T Pook, M Schlather
Proc. 11th World Congress on Genetics Applied to Livestock Production …, 2018
82018
Newly developed MAGIC population allows identification of strong associations and candidate genes for anthocyanin pigmentation in eggplant
G Mangino, A Arrones, M Plazas, T Pook, J Prohens, P Gramazio, ...
Frontiers in Plant Science 13, 2022
52022
How imputation can mitigate SNP ascertainment Bias
J Geibel, C Reimer, T Pook, S Weigend, A Weigend, H Simianer
BMC genomics 22 (1), 340, 2021
52021
A unifying concept of animal breeding programmes
H Simianer, L Büttgen, A Ganesan, NT Ha, T Pook
Journal of Animal Breeding and Genetics 138 (2), 137-150, 2021
42021
MoBPSweb: A web-based framework to simulate and compare breeding programs
T Pook, L Büttgen, A Ganesan, NT Ha, H Simianer
G3 11 (2), jkab023, 2021
42021
Increasing calling accuracy, coverage, and read-depth in sequence data by the use of haplotype blocks
T Pook, A Nemri, EG Gonzalez Segovia, D Valle Torres, H Simianer, ...
PLoS Genetics 17 (12), e1009944, 2021
32021
Phenotype Prediction under Epistasis
E Vojgani, T Pook, H Simianer
Epistasis: Methods and Protocols, 105-120, 2021
32021
Simulation study on the integration of health traits in horse breeding programs
L Büttgen, J Geibel, H Simianer, T Pook
Animals 10 (7), 1153, 2020
32020
How Array Design Affects SNP Ascertainment Bias
J Geibel, C Reimer, S Weigend, A Weigend, T Pook, H Simianer
bioRxiv, 833541, 2019
32019
Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments
E Vojgani, T Pook, JWR Martini, AC Hölker, M Mayer, CC Schön, ...
Theoretical and Applied Genetics 134, 2913-2930, 2021
22021
Imputation of low‐density marker chip data in plant breeding: Evaluation of methods based on sugar beet
T Niehoff, T Pook, M Gholami, T Beissinger
The Plant Genome, e20257, 2022
12022
ANOVA-HD: Analysis of variance when both input and output layers are high-dimensional
G de Los Campos, T Pook, A Gonzalez-Reymundez, H Simianer, G Mias, ...
Plos one 15 (12), e0243251, 2020
12020
Methods and software to enhance statistical analysis in large scale problems in breeding and quantitative genetics
T Pook
Georg-August-Universität Göttingen, 2019
12019
Development and validation of a horse reference panel for genotype imputation
P Reich, C Falker-Gieske, T Pook, J Tetens
Genetics Selection Evolution 54 (1), 49, 2022
2022
Comparison of breeding strategies for the creation of a synthetic pig line
A Ganteil, T Pook, ST Rodriguez-Ramilo, B Ligonesche, C Larzul
bioRxiv, 2021.09. 22.461330, 2021
2021
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