Author

Ngoc-Thuy Ha

University of Göttingen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Henner SimianeriD· 3 shared Amudha Ganesan· 2 shared Lisa BüttgeniD· 2 shared Torsten PookiD· 2 shared Medhat MahmoudiD· 1 shared Mila Leonie TostiD· 1 shared Timothy M. BeissingeriD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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3 shared papersGenetics

Henner SimianerORCID

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Author profile →

3 papers

Recent·Most cited

Ghat: An R package for identifying adaptive polygenic traits

Medhat Mahmoud, Mila Leonie Tost, Ngoc-Thuy Ha, Henner Simianer, Timothy M. Beissinger

Ghat identifies selection on polygenic traits by analyzing allele frequency changes and effect sizes, demonstrating its power on wheat traits and simulated populations.

G3 Genes Genomes Genetics · Dec 1, 2022Peer-reviewedGenomics

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

Torsten Pook, Lisa Büttgen, Amudha Ganesan, Ngoc-Thuy Ha, Henner Simianer

MoBPSweb simulates and compares breeding programs by integrating a unified language with simulation software, evaluating scenarios based on genomic gains, inbreeding rates, and accuracy of breeding value estimation.

G3 Genes Genomes Genetics · Feb 1, 2021Peer-reviewedGenetics

A unifying concept of animal breeding programs

Henner Simianer, Amudha Ganesan, Lisa Büttgen, Ngoc-Thuy Ha, Torsten Pook

This paper proposes a general definition of animal breeding programs using a modular graph representation and introduces a web tool and R-package for simulating and analyzing breeding programs.

bioRxiv · Jul 8, 2020 · PreprintGenetics