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Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids
Cite this dataset:
Njuguna, Joyce; Clark, Lindsay; Lipka, Alexander; Anzoua, Kossonou; Bagmet, Larisa; Chebukin, Pavel; Dwiyanti, Maria; Dzyubenko, Elena; Dzyubenko, Nicolay; Ghimire, Bimal; Jin, Xiaoli; Johnson, Douglas; Kjeldsen, Jens; Nagano, Hironori; Oliverira, Ivone; Peng, Junhua; Petersen, Karen; Sabitov, Andrey; Seong, Eun; Yamada, Toshihiko; Yoo, Ji; Yu, Chang; Zhao, Hu; Munoz, Patricio; Long , Stephen; Sacks, Erik (2023): Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4829913_V1
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Dataset Description

This dataset contains all data used in the paper "Impact of genotype-calling methodologies on genome-wide association and genomic prediction in polyploids". The dataset includes genotypes and phenotypic data from two autotetraploid species Miscanthus sacchariflorus and Vaccinium corymbosum that was used used for genome wide association studies and genomic prediction and the scripts used in the analysis.
Subject Life Sciences
Keywords Polyploid; allelic dosage; Bayesian genotype-calling; Genome-wide association; Genomic prediction
License CC BY
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0012379
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Funder U.S. National Science Foundation (NSF)-Grant:1661490
Corresponding Creator Erik Sacks
Downloaded 52 times
Version DOI Comment Publication Date
2 10.13012/B2IDB-4829913_V2 Added 2 new files: Blueberry_data_read_depths.RData and Miscanthus_sacchariflorous_RADSeq.vcf 2023-07-05
1 10.13012/B2IDB-4829913_V1 2023-03-30
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