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PacBio Single-Molecule Long-Read Sequencing Provides New Light on the Complexity of Full-Length Transcripts in Cattle.
- Published in:
- Frontiers in Genetics, 2021, v. 12, p. 1, doi. 10.3389/fgene.2021.664974
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- Article
A Stacking Ensemble Learning Framework for Genomic Prediction.
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- Frontiers in Genetics, 2021, v. 11, p. N.PAG, doi. 10.3389/fgene.2021.600040
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- Article
The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle.
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- Journal of Animal Science & Biotechnology, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s40104-023-00876-7
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Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle.
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- Scientific Reports, 2017, p. 42048, doi. 10.1038/srep42048
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- Article
Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle.
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- BMC Genetics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12863-020-0837-6
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- Article
Application of ensemble learning to genomic selection in chinese simmental beef cattle.
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- Journal of Animal Breeding & Genetics, 2021, v. 138, n. 3, p. 291, doi. 10.1111/jbg.12514
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- Article
Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing.
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- PLoS ONE, 2019, v. 14, n. 10, p. 1, doi. 10.1371/journal.pone.0223671
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- Article
KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab132
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- Article
Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-91373-2
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- Article
Transcriptomics and Lipid Metabolomics Analysis of Subcutaneous, Visceral, and Abdominal Adipose Tissues of Beef Cattle.
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- Genes, 2023, v. 14, n. 1, p. 37, doi. 10.3390/genes14010037
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Evaluation of GBLUP, BayesB and elastic net for genomic prediction in Chinese Simmental beef cattle.
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- PLoS ONE, 2019, v. 14, n. 2, p. 1, doi. 10.1371/journal.pone.0210442
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- Article
Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle.
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- Animals (2076-2615), 2021, v. 11, n. 9, p. 2524, doi. 10.3390/ani11092524
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- Article
Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle.
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- Animals (2076-2615), 2021, v. 11, n. 1, p. 192, doi. 10.3390/ani11010192
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- Article
A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies.
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- Animals (2076-2615), 2019, v. 9, n. 6, p. 305, doi. 10.3390/ani9060305
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- Article