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Improving the accuracy of genomic prediction in dairy cattle using the biologically annotated neural networks framework.
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- Journal of Animal Science & Biotechnology, 2024, v. 15, n. 1, p. 1, doi. 10.1186/s40104-024-01044-1
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- Article
Cross-Species Comparative DNA Methylation Reveals Novel Insights into Complex Trait Genetics among Cattle, Sheep, and Goats.
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- Molecular Biology & Evolution, 2024, v. 41, n. 2, p. 1, doi. 10.1093/molbev/msae003
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- Article
Preselecting Variants from Large-Scale Genome-Wide Association Study Meta-Analyses Increases the Genomic Prediction Accuracy of Growth and Carcass Traits in Large White Pigs.
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- Animals (2076-2615), 2023, v. 13, n. 24, p. 3746, doi. 10.3390/ani13243746
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- Article
Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population.
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- Animals (2076-2615), 2023, v. 13, n. 4, p. 636, doi. 10.3390/ani13040636
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- Article
Metabolite Profiling of Wheat Response to Cultivar Improvement and Nitrogen Fertilizer.
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- Metabolites (2218-1989), 2023, v. 13, n. 1, p. 107, doi. 10.3390/metabo13010107
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- Article
Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits.
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- BMC Biology, 2022, v. 20, n. 1, p. 1, doi. 10.1186/s12915-022-01459-0
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- Article
Genomic Prediction Using Bayesian Regression Models With Global–Local Prior.
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- Frontiers in Genetics, 2021, v. 11, p. N.PAG, doi. 10.3389/fgene.2021.628205
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- Article
Comparative Transcriptomic and Proteomic Analyses Identify Key Genes Associated With Milk Fat Traits in Chinese Holstein Cows.
- Published in:
- Frontiers in Genetics, 2019, p. 1, doi. 10.3389/fgene.2019.00672
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- Article
Genome-Wide Association Study for Milk Protein Composition Traits in a Chinese Holstein Population Using a Single-Step Approach.
- Published in:
- Frontiers in Genetics, 2019, p. N.PAG, doi. 10.3389/fgene.2019.00072
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- Article
Cell-bound lipases from Burkholderia sp. ZYB002: gene sequence analysis, expression, enzymatic characterization, and 3D structural model.
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- BMC Biotechnology, 2016, v. 16, p. 1, doi. 10.1186/s12896-016-0269-6
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- Article