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Breed identification using breed‑informative SNPs and machine learning based on whole genome sequence data and SNP chip data

Changheng Zhao Dan Wang Jun Teng Cheng Yang Xinyi Zhang Xianming Wei Qin Zhang

畜牧与生物技术杂志:英文版2023,Vol.14Issue(5):P.1941-1953,13.
畜牧与生物技术杂志:英文版2023,Vol.14Issue(5):P.1941-1953,13.DOI:10.1186/s40104-023-00880-x

Breed identification using breed‑informative SNPs and machine learning based on whole genome sequence data and SNP chip data

Changheng Zhao 1Dan Wang 1Jun Teng 1Cheng Yang 1Xinyi Zhang 1Xianming Wei 1Qin Zhang1

作者信息

  • 1. Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention,College of Animal Science and Veterinary Medicine,Shandong Agricultural University,Tai’an 271018,China
  • 折叠

摘要

关键词

Breed identification/Breed-informative SNPs/Genomic breed composition/Machine learning/Whole genome sequence data

分类

信息技术与安全科学

引用本文复制引用

Changheng Zhao,Dan Wang,Jun Teng,Cheng Yang,Xinyi Zhang,Xianming Wei,Qin Zhang..Breed identification using breed‑informative SNPs and machine learning based on whole genome sequence data and SNP chip data[J].畜牧与生物技术杂志:英文版,2023,14(5):P.1941-1953,13.

基金项目

funded by National Key Research and Development Program of China(2021YFD1200404) (2021YFD1200404)

the Yangzhou University Interdisciplinary Research Foundation for Animal Science Discipline of Targeted Support(yzuxk202016) (yzuxk202016)

the Project of Genetic Improvement for Agricultural Species(Dairy Cattle)of Shandong Province(2019LZGC011). (Dairy Cattle)

畜牧与生物技术杂志:英文版

OACSCDCSTPCD

1674-9782

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