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Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations

Xiao Wang Guosheng Su Dan Hao Mogens Sandφ Lund Haja N.Kadarmideen

畜牧与生物技术杂志(英文版)2020，Vol.11Issue(2)：316-326,11.

Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations

Xiao Wang ¹Guosheng Su ²Dan Hao ²Mogens Sandφ Lund ¹Haja N.Kadarmideen³

作者信息

1. Quantitative Genomics, Bioinformatics and Computational Biology Group,Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Peterson Plads, Building 324, 2800 Kongens Lyngby, Denmark
2. Center for Quantitative Genetics and Genomics,Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele,Denmark
3. Department of Molecular Biology and Genetics, Aarhus University,8000 Aarhus C, Denmark
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摘要

关键词

Genomic prediction/Genotyping by sequencing/Imputation/MAF/Simulation

Key words

Genomic prediction/Genotyping by sequencing/Imputation/MAF/Simulation

引用本文复制引用

Xiao Wang,Guosheng Su,Dan Hao,Mogens Sandφ Lund,Haja N.Kadarmideen..Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations[J].畜牧与生物技术杂志(英文版),2020,11(2):316-326,11.

基金项目

This study was funded by the Genomic Selection in Animals and Plants (GenSAP) research project financed by the Danish Council of Strategic Research (Aarhus,Denmark).Xiao Wang received Ph.D.stipends from the Technical University of Denmark (DTU Bioinformatics and DTU Compute),Denmark,and the China Scholarship Council,China. （GenSAP）

畜牧与生物技术杂志(英文版)

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ISSN：1674-9782

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