Author

Johannes Geibel

University of GöttingenORCID 0000-0001-7172-3263Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:imputation· 1 Organism:multiple species· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Henner SimianeriD· 3 shared Torsten PookiD· 3 shared Steffen WeigendiD· 2 shared Annett Weigend· 1 shared Azadeh HassanpouriD· 1 shared C.C. Schoen· 1 shared Christian ReimeriD· 1 shared D. Cavero· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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3 shared papersGenetics

Henner SimianerORCID

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3 papers

Recent·Most cited

Beyond Scenarios - Optimization of breeding program design (MoBPSopti)

Azadeh Hassanpour, Johannes Geibel, Henner Simianer, Torsten Pook

This paper introduces a framework for numerically optimizing breeding programs by maximizing a target function that combines genetic gain and diversity conservation, using stochastic simulations and kernel regression.

bioRxiv · Apr 3, 2023 · PreprintGenetics

How Array Design Affects SNP Ascertainment Bias

Johannes Geibel, Christian Reimer, Steffen Weigend, Annett Weigend, Torsten Pook, Henner Simianer

The paper investigates how SNP array design affects ascertainment bias by redesigning a chicken SNP array and analyzing allele frequency spectra and heterozygosity estimates.

PLoS ONE · Mar 30, 2021Peer-reviewedGenomics

Improving imputation quality in BEAGLE for crop and livestock data

Torsten Pook, Manfred Mayer, Johannes Geibel, Steffen Weigend, D. Cavero, C.C. Schoen, Henner Simianer

The paper evaluates BEAGLE versions for imputation quality in crop and livestock data, finding that parameter tuning significantly improves imputation accuracy.

G3 Genes Genomes Genetics · Nov 2, 2019Peer-reviewedGenetics