Torsten Pook

About Torsten Pook

Torsten Pook, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Georg-August-Universität Göttingen, specializes in the field of Haplotype Blocks, Genomic Prediction, Imputation, Deep Learning, quantitative genetics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Genomic prediction within and across maize landrace derived populations using haplotypes

Increasing genetic gain without compromising diversity by selection based on mating qualities

Strategies to improve selection compared to selection based on estimated breeding values

Use of genomic information for the determination of insemination doses per sire in a gene bank

Using genomic data to estimate genetic correlations between countries with different levels of connectedness

Software project’miraculix’: Efficient computations with large genomic datasets

Optimization of breeding program design through stochastic simulation with kernel regression

Haplotype-block-based imputation of genomic markers

Torsten Pook Information

University

Position

PhD

Citations(all)

311

Citations(since 2020)

307

Cited By

53

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Torsten Pook Skills & Research Interests

Haplotype Blocks

Genomic Prediction

Imputation

Deep Learning

quantitative genetics

Top articles of Torsten Pook

Genomic prediction within and across maize landrace derived populations using haplotypes

Frontiers in Plant Science

2024/3/22

Torsten Pook
Torsten Pook

H-Index: 4

Increasing genetic gain without compromising diversity by selection based on mating qualities

2023

Strategies to improve selection compared to selection based on estimated breeding values

2023

Use of genomic information for the determination of insemination doses per sire in a gene bank

2023

Using genomic data to estimate genetic correlations between countries with different levels of connectedness

Interbull Bulletin

2023/12/13

Software project’miraculix’: Efficient computations with large genomic datasets

Interbull Bulletin

2023/12/13

Optimization of breeding program design through stochastic simulation with kernel regression

G3: Genes, Genomes, Genetics

2023/12

Haplotype-block-based imputation of genomic markers

2023/11/16

Optimization Strategies to Adapt Sheep Breeding Programs to Pasture-Based Production Environments: A Simulation Study

Animals

2023/11/10

Torsten Pook
Torsten Pook

H-Index: 4

Markus Schmid
Markus Schmid

H-Index: 37

The pig pangenome provides insights into the roles of coding structural variations in genetic diversity and adaptation

Genome Research

2023/10/1

Beyond scenarios-optimization of breeding program design using evolutionary algorithms (MoBPSopti)

2023/8/28

Expected values of genomic prediction validation parameters for non-random validation sets

2023/8/28

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

Frontiers in Genetics

2023/8/17

Martin Schlather
Martin Schlather

H-Index: 23

Torsten Pook
Torsten Pook

H-Index: 4

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

2023/7/7

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

Genetics Selection Evolution

2023/6/8

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

PLoS one

2023/3/31

Henner Simianer
Henner Simianer

H-Index: 36

Torsten Pook
Torsten Pook

H-Index: 4

Accelerating single-step evaluations through GPU offloading

Interbull Bulletin

2023

Martin Schlather
Martin Schlather

H-Index: 23

Torsten Pook
Torsten Pook

H-Index: 4

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

2022/12/31

Beyond scenarios–resource optimization for dairy cattle breeding programs (MoBPSopti)

2022/12/31

Genetic rescue of small populations in the presence of deleterious variation

2022/12/31

See List of Professors in Torsten Pook University(Georg-August-Universität Göttingen)

Co-Authors

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