Jinliang Yang
Affiliations: | 2017- | Agronomy and Horticulture | The University of Nebraska - Lincoln, Lincoln, NE |
Area:
Plant quantitative genetics and statistical genomicsWebsite:
https://jyanglab.com/Google:
"Jinliang Yang"Parents
Sign in to add mentorPatrick Schnable | grad student | 2008-2014 | Iowa State |
Jeffrey Ross-Ibarra | post-doc | 2014-2017 | University of Nebraska - Lincoln |
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Publications
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Lu J, Xie Y, Li C, et al. (2024) Tensor decomposition reveals trans-regulated gene modules in maize drought response. Journal of Genetics and Genomics = Yi Chuan Xue Bao |
Delen Y, Mural RV, Palali-Delen S, et al. (2024) Dissecting the genetic architecture of sunflower disc diameter using genome-wide association study. Plant Direct. 8: e70010 |
He C, Washburn JD, Schleif N, et al. (2024) Trait association and prediction through integrative k-mer analysis. The Plant Journal : For Cell and Molecular Biology |
Delen Y, Palali-Delen S, Xu G, et al. (2024) Dissecting the Genetic Architecture of Morphological Traits in Sunflower ( L.). Genes. 15 |
Wei X, Chen M, Zhang Q, et al. (2024) Genomic investigation of 18,421 lines reveals the genetic architecture of rice. Science (New York, N.Y.). 385: eadm8762 |
Li D, Wang Q, Tian Y, et al. (2024) TWAS facilitates gene-scale trait genetic dissection through gene expression, structural variations, and alternative splicing in soybean. Plant Communications. 101010 |
Zhang Q, Yang Z, Yang J. (2024) Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders. Biometrics. 80 |
Zou Y, Wang J, Peng D, et al. (2023) Multi-integrated genomic data for Passiflora foetida provides insights into genome size evolution and floral development in Passiflora. Molecular Horticulture. 3: 27 |
Sun S, Wang B, Li C, et al. (2023) Unraveling prevalence and effects of deleterious mutations in maize elite lines across decades of modern breeding. Molecular Biology and Evolution |
Hartwig T, Banf M, Prietsch GP, et al. (2023) Hybrid allele-specific ChIP-seq analysis identifies variation in brassinosteroid-responsive transcription factor binding linked to traits in maize. Genome Biology. 24: 108 |