T. Pook

发表

HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries

M. Schlather, G. de los Campos, H. Simianer, 2019, Genetics.

Analysis of variance when both input and output sets are high-dimensional

G. de los Campos, A. Vazquez, G. Mias, 2020, bioRxiv.

Improving Imputation Quality in BEAGLE for Crop and Livestock Data

H. Simianer, J. Geibel, T. Pook, 2019, G3: Genes, Genomes, Genetics.

ANOVA-HD: Analysis of variance when both input and output layers are high-dimensional

Agustin Gonzalez-Reymundez, G. de los Campos, A. Vazquez, 2020, PloS one.

Methods and software to enhance statistical analysis in large scale problems in breeding and quantitative genetics

T. Pook, 2019 .

HaploBlocker: Creation of subgroup specific haplotype blocks and libraries

M. Schlather, G. de los Campos, H. Simianer, 2018, bioRxiv.

Development and validation of a horse reference panel for genotype imputation

T. Pook, J. Tetens, Clemens Falker-Gieske, 2022, Genetics, selection, evolution : GSE.

Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments

H. Simianer, T. Pook, M. Mayer, 2020, Theoretical and Applied Genetics.

Bivariate genomic prediction of phenotypes by selecting epistatic interactions across years

H. Simianer, T. Pook, M. Mayer, 2020, bioRxiv.

How Array Design affects SNP Ascertainment Bias

H. Simianer, C. Reimer, J. Geibel, 2019, bioRxiv.

Simulated Comparison Between Different Scenarios of Modular Chicken Breeding Program using MoBPSweb v.1.6.62

B. Retnoaji, T. Pook, B. Daryono, 2022 .

How imputation can mitigate SNP ascertainment Bias

H. Simianer, C. Reimer, J. Geibel, 2021, BMC genomics.

How Imputation Can Mitigate Ascertainment Bias

Torsten Pook, Henner Simianer, Steffen Weigend, 2021 .

Increasing calling accuracy, coverage, and read-depth in sequence data by the use of haplotype blocks

H. Simianer, T. Pook, C. Schoen, 2021, PLoS genetics.

Increasing calling accuracy, coverage, and read-depth in sequence data by the use of haplotype blocks

H. Simianer, T. Pook, C. Schoen, 2021, bioRxiv.

Newly Developed MAGIC Population Allows Identification of Strong Associations and Candidate Genes for Anthocyanin Pigmentation in Eggplant

T. Pook, M. Plazas, J. Prohens, 2021, bioRxiv.

249. Genetic rescue of small populations in the presence of deleterious variation

C. Reimer, J. Geibel, T. Pook, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

How array design creates SNP ascertainment bias

H. Simianer, C. Reimer, J. Geibel, 2021, PloS one.

MoBPSweb: A web-based framework to simulate and compare breeding programs

H. Simianer, A. Ganesan, N.T. Ha, 2020, bioRxiv.

A unifying concept of animal breeding programs

H. Simianer, A. Ganesan, L. Buettgen, 2020, bioRxiv.

Using Local Convolutional Neural Networks for Genomic Prediction

Arthur Korte, Torsten Pook, Jan Freudenthal, 2020, bioRxiv.

MoBPS - Modular Breeding Program Simulator

Torsten Pook, Henner Simianer, Martin Schlather, 2019, bioRxiv.

Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks

H. Simianer, T. Pook, M. Mayer, 2023, PloS one.

Phenotype Prediction Under Epistasis.

Torsten Pook, Henner Simianer, Elaheh Vojgani, 2021, Methods in molecular biology.

Accelerated computations for iterative-solver techniques in single-step BLUP models

M. Schlather, J. T. Napel, T. Pook, 2023, bioRxiv.

How economic weights translate into genetic and phenotypic progress, and vice versa

H. Simianer, C. Reimer, J. Geibel, 2023, Genetics Selection Evolution.

Beyond Scenarios - Optimization of breeding program design (MoBPSopti)

H. Simianer, J. Geibel, T. Pook, 2023, bioRxiv.

The Modular Breeding Program Simulator (MoBPS) allows efficient simulation of complex breeding programs

Torsten Pook, Henner Simianer, Martin Schlather, 2021, Animal Production Science.

Simulation Study on the Integration of Health Traits in Horse Breeding Programs

H. Simianer, J. Geibel, T. Pook, 2020, Animals : an open access journal from MDPI.

350. Imputation of low coverage sequence data by utilization of pre-phased reads and HBimpute

J. Geibel, T. Pook, 2022, Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP).

Imputation of Low-density Marker Chip Data in Plant Breeding: Evaluation of Methods Based on Sugar Beet

Timothy M. Beissinger, T. Pook, M. Gholami, 2022, bioRxiv.

Accelerated matrix-vector multiplications for matrices involving genotype covariates with applications in genomic prediction

M. Schlather, T. Pook, J. Vandenplas, 2023, bioRxiv.

Creation of subgroup specific haplotype blocks and libraries

M. Schlather, H. Simianer, T. Pook, 2018 .

HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries

M. Schlather, G. de los Campos, H. Simianer, 2018, Genetics.

Comparison of breeding strategies for the creation of a synthetic pig line

T. Pook, C. Larzul, S. T. Rodríguez-Ramilo, 2021, bioRxiv.

Optimization of breeding program design through stochastic simulation with kernel regression

J. Geibel, T. Pook, Azadeh Hassanpour, 2023, G3.