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Zhenshuang Tang

Showing results (1-10 of 14) with videos related to

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Animal Genetics|August 3, 2021
Genome-wide association study identifies variants associated with AFS and GL in Danish Yorkshire pig populationHongtao Wang, Zhenshuang Tang, Meng Guo, et al.
Frontiers in Genetics|April 27, 2019
Genome-Wide Association Study Reveals Candidate Genes for Growth Relevant Traits in PigsZhenshuang Tang, Jingya Xu, Lilin Yin, et al.
Nucleic Acids Research|February 22, 2023
HIBLUP: an integration of statistical models on the BLUP framework for efficient genetic evaluation using big genomic dataLilin Yin, Haohao Zhang, Zhenshuang Tang, et al.
Animal Genetics|August 13, 2024
A genome-wide association study reveals candidate genes and regulatory regions associated with birth weight in pigsDadong Deng, Hongtao Wang, Kun Han, et al.
Animal Genetics|September 14, 2023
Searching for new signals for susceptibility to umbilical hernia through genome-wide association analysis in three pig breedsHui Yang, Lei Wang, Lilin Yin, et al.
Briefings in Bioinformatics|December 28, 2022
Development and application of an efficient genomic mating method to maximize the production performances of three-way crossbred pigsZhenshuang Tang, Lilin Yin, Dong Yin, et al.
Journal of Animal Science and Biotechnology|December 9, 2020
Whole genome variants across 57 pig breeds enable comprehensive identification of genetic signatures that underlie breed featuresJingya Xu, Yuhua Fu, Yan Hu, et al.
Genomics, Proteomics & Bioinformatics|March 4, 2021
rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association StudyLilin Yin, Haohao Zhang, Zhenshuang Tang, et al.
BMC Genomics|November 1, 2019
Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar populationNing Gao, Yilong Chen, Xiaohong Liu, et al.
Nature Communications|April 24, 2026
Improving genomic prediction accuracy of complex traits by integrating massive types of functional annotation informationZhenshuang Tang, Xiong Xiong, Haohao Zhang, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Animal Genetics|August 3, 2021
Genome-wide association study identifies variants associated with AFS and GL in Danish Yorkshire pig populationHongtao Wang, Zhenshuang Tang, Meng Guo, et al.
Frontiers in Genetics|April 27, 2019
Genome-Wide Association Study Reveals Candidate Genes for Growth Relevant Traits in PigsZhenshuang Tang, Jingya Xu, Lilin Yin, et al.
Nucleic Acids Research|February 22, 2023
HIBLUP: an integration of statistical models on the BLUP framework for efficient genetic evaluation using big genomic dataLilin Yin, Haohao Zhang, Zhenshuang Tang, et al.
Animal Genetics|August 13, 2024
A genome-wide association study reveals candidate genes and regulatory regions associated with birth weight in pigsDadong Deng, Hongtao Wang, Kun Han, et al.
Animal Genetics|September 14, 2023
Searching for new signals for susceptibility to umbilical hernia through genome-wide association analysis in three pig breedsHui Yang, Lei Wang, Lilin Yin, et al.
Briefings in Bioinformatics|December 28, 2022
Development and application of an efficient genomic mating method to maximize the production performances of three-way crossbred pigsZhenshuang Tang, Lilin Yin, Dong Yin, et al.
Journal of Animal Science and Biotechnology|December 9, 2020
Whole genome variants across 57 pig breeds enable comprehensive identification of genetic signatures that underlie breed featuresJingya Xu, Yuhua Fu, Yan Hu, et al.
Genomics, Proteomics & Bioinformatics|March 4, 2021
rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association StudyLilin Yin, Haohao Zhang, Zhenshuang Tang, et al.
BMC Genomics|November 1, 2019
Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar populationNing Gao, Yilong Chen, Xiaohong Liu, et al.
Nature Communications|April 24, 2026
Improving genomic prediction accuracy of complex traits by integrating massive types of functional annotation informationZhenshuang Tang, Xiong Xiong, Haohao Zhang, et al.
Pageof 2