Author

Mary M. Happ

University of Nebraska–LincolnORCID 0000-0002-5897-2617Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Approach:experimental assay· 1 Research Focus:imputation· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

David L. HyteniD· 2 shared Haichuan WangiD· 2 shared Aaron Joel LorenziD· 1 shared Benjamin W. CampbelliD· 1 shared George Lewis GraefiD· 1 shared Keenan AmundseniD· 1 shared Qijian SongiD· 1 shared Samantha McConaughy· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersGenomics

David L. HytenORCID

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2 papers

Recent·Most cited

GenomicsThe Plant GenomePeer-reviewedNov 21, 2022

Development of Molecular Inversion Probes for Soybean Progeny Genomic Selection Genotyping

Haichuan Wang, Benjamin W. Campbell, Mary M. Happ…·David L. Hyten

The paper develops a 1K SNP Molecular Inversion Probes (MIPs) set for soybean genomic selection, achieving high accuracy and cost-effectiveness for breeding programs.

7 citations

whole-genome sequencingexperimental assay

𝕏 PostBluesky

GenomicsG3 Genes Genomes GeneticsPeer-reviewedMay 9, 2019

Generating High Density, Low Cost Genotype Data in Soybean

Mary M. Happ, Haichuan Wang, George Lewis Graef, David L. Hyten

The paper demonstrates that low-depth sequencing combined with imputation using a high-depth reference panel can accurately generate high-density SNP data in soybean at a lower cost.

24 citations

plant (other)whole-genome sequencing

𝕏 PostBluesky