Author Pook, Torsten
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2019 | Journal Article
HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries
Pook, T.; Schlather, M.; de los Campos, G.; Mayer, M.; Schoen, C. C. & Simianer, H. (2019)
Genetics, 212(4) pp. 1045-1061. DOI: https://doi.org/10.1534/genetics.119.302283
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2020 | Journal Article
Improving Imputation Quality in BEAGLE for Crop and Livestock Data
Pook, T.; Mayer, M.; Geibel, J. ; Weigend, S.; Cavero, D.; Schoen, C. C. & Simianer, H. (2020)
G3: Genes, Genomes, Genetics, 10(1) pp. 177-188. DOI: https://doi.org/10.1534/g3.119.400798
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2020 | Journal Article
MoBPS - Modular Breeding Program Simulator
Pook, T.; Schlather, M. & Simianer, H. (2020)
G3: Genes, Genomes, Genetics, 10(6) pp. 1915-1918. DOI: https://doi.org/10.1534/g3.120.401193
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2020 | Journal Article
ANOVA-HD: Analysis of variance when both input and output layers are high-dimensional
de los Campos, G.; Pook, T.; Gonzalez-Reymundez, A.; Simianer, H. ; Mias, G. & Vazquez, A. I. (2020)
PLoS One, 15(12) pp. e0243251. DOI: https://doi.org/10.1371/journal.pone.0243251
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2020 | Preprint
How Array Design affects SNP Ascertainment Bias
Geibel, J.; Reimer, C.; Weigend, S.; Weigend, A.; Pook, T.& Simianer, H. (2020). DOI: https://doi.org/10.1101/833541
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2020 | Journal Article | Research Paper |
Simulation Study on the Integration of Health Traits in Horse Breeding Programs
Büttgen, L.; Geibel, J. ; Simianer, H. & Pook, T. (2020)
Animals, 10(7) pp. 1153. DOI: https://doi.org/10.3390/ani10071153
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2020 | Journal Article |
Using Local Convolutional Neural Networks for Genomic Prediction
Pook, T.; Freudenthal, J.; Korte, A. & Simianer, H. (2020)
Frontiers in Genetics, 11. DOI: https://doi.org/10.3389/fgene.2020.561497
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2021 | Journal Article
A unifying concept of animal breeding programmes
Simianer, H. ; Büttgen, L.; Ganesan, A.; Ha, N. T. & Pook, T. (2021)
Journal of Animal Breeding and Genetics, 138(2) pp. 137-150. DOI: https://doi.org/10.1111/jbg.12534
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2021 | Journal Article
The Modular Breeding Program Simulator (MoBPS) allows efficient simulation of complex breeding programs
Pook, T.; Reimer, C.; Freudenberg, A.; Büttgen, L.; Geibel, J. ; Ganesan, A. & Ha, N.-T. et al. (2021)
Animal Production Science,. DOI: https://doi.org/10.1071/AN21076
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2021 | Book Chapter
Phenotype Prediction Under Epistasis
Vojgani, E.; Pook, T.& Simianer, H. (2021)
In:Wong, Ka-Chun (Ed.), Methods in Molecular Biology Epistasis : Methods and Protocols pp. 105-120. New York, NY: Springer US. DOI: https://doi.org/10.1007/978-1-0716-0947-7_8
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2021 | Journal Article | Research Paper |
How array design creates SNP ascertainment bias
Geibel, J.; Reimer, C.; Weigend, S.; Weigend, A.; Pook, T. & Simianer, H. (2021)
PLoS One, 16(3) pp. e0245178. DOI: https://doi.org/10.1371/journal.pone.0245178
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2021 | Journal Article |
Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments
Vojgani, E.; Pook, T.; Martini, J. W. R.; Hölker, A. C.; Mayer, M.; Schön, C.-C. & Simianer, H. (2021)
Theoretical and Applied Genetics,. DOI: https://doi.org/10.1007/s00122-021-03868-1
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2021 | Journal Article | Research Paper |
MoBPSweb: A web-based framework to simulate and compare breeding programs
Pook, T.; Büttgen, L.; Ganesan, A.; Ha, N.-T. & Simianer, H. (2021)
G3 Genes|Genomes|Genetics, 11(2). DOI: https://doi.org/10.1093/g3journal/jkab023
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2021 | Journal Article |
Increasing calling accuracy, coverage, and read-depth in sequence data by the use of haplotype blocks
Pook, T.; Nemri, A.; Gonzalez Segovia, E. G.; Valle Torres, D.; Simianer, H. & Schoen, C.-C. (2021)
PLOS Genetics, 17(12) pp. e1009944. DOI: https://doi.org/10.1371/journal.pgen.1009944
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2021 | Journal Article | Research Paper |
How imputation can mitigate SNP ascertainment Bias
Geibel, J.; Reimer, C.; Pook, T.; Weigend, S.; Weigend, A. & Simianer, H. (2021)
BMC Genomics, 22(1) art. 340. DOI: https://doi.org/10.1186/s12864-021-07663-6
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2022 | Journal Article |
Imputation of low‐density marker chip data in plant breeding: Evaluation of methods based on sugar beet
Niehoff, T.; Pook, T.; Gholami, M. & Beissinger, T. (2022)
The Plant Genome,. DOI: https://doi.org/10.1002/tpg2.20257
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2022 | Journal Article | Research Paper |
Newly Developed MAGIC Population Allows Identification of Strong Associations and Candidate Genes for Anthocyanin Pigmentation in Eggplant
Mangino, G.; Arrones, A.; Plazas, M.; Pook, T.; Prohens, J.; Gramazio, P. & Vilanova, S. (2022)
Frontiers in Plant Science, 13. DOI: https://doi.org/10.3389/fpls.2022.847789
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2022 | Journal Article | Research Paper |
Development and validation of a horse reference panel for genotype imputation
Reich, P.; Falker-Gieske, C.; Pook, T. & Tetens, J. (2022)
Genetics Selection Evolution, 54(1) art. 49. DOI: https://doi.org/10.1186/s12711-022-00740-8
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2023 | Journal Article
Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks
Vojgani, E.; Hölker, A. C.; Mayer, M.; Schön, C.-C.; Simianer, H. & Pook, T. (2023)
PLoS One, 18(3) art. e0282288. DOI: https://doi.org/10.1371/journal.pone.0282288
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