Results 41 to 50 of about 523,896 (324)

Predicting Genome Architecture: Challenges and Solutions [PDF]

Frontiers in Genetics, 2021
Genome architecture plays a pivotal role in gene regulation. The use of high-throughput methods for chromatin profiling and 3-D interaction mapping provide rich experimental data sets describing genome organization and dynamics. These data challenge development of new models and algorithms connecting genome architecture with epigenetic marks.
Veniamin S. Fishman, Veniamin S. Fishman, Polina S. Belokopytova, Polina S. Belokopytova   +3 more
openaire   +4 more sources

Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development. [PDF]

, 2020
The cuticle, a hydrophobic layer of cutin and waxes synthesized by plant epidermal cells, is the major barrier to water loss when stomata are closed at night and under water-limited conditions.
Baseggio, Matheus, Chamness, James, Gore, Michael A, Kaczmar, Nicholas, Lin, Meng, Matschi, Susanne, Miller, Michael, Molina, Isabel, Qiao, Pengfei, Scanlon, Michael J, Smith, Laurie G, Stewart, Ethan L, Vasquez, Miguel   +12 more
core   +2 more sources

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds

BMC Genomics, 2017
Background A better understanding of the genetic architecture underlying complex traits (e.g., the distribution of causal variants and their effects) may aid in the genomic prediction.
Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter Sørensen   +7 more
doaj   +1 more source

GVCHAP: A Computing Pipeline for Genomic Prediction and Variance Component Estimation Using Haplotypes and SNP Markers

Frontiers in Genetics, 2020
Haplotype prediction models open many possibilities to improve the accuracy of genomic selection but require more data processing and computing time than single-SNP prediction models. To facilitate haplotype analysis for genomic prediction and estimation
Dzianis Prakapenka, Chunkao Wang, Zuoxiang Liang, Cheng Bian, Cheng Bian, Cheng Tan, Cheng Tan, Yang Da   +7 more
doaj   +1 more source

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

Animals, 2023
Preselected variants associated with the trait of interest from genome-wide association studies (GWASs) are available to improve genomic prediction in pigs.
Chen Wei, Chengjie Chang, Wenjing Zhang, Duanyang Ren, Xiaodian Cai, Tianru Zhou, Shaolei Shi, Xibo Wu, Jinglei Si, Xiaolong Yuan, Jiaqi Li, Zhe Zhang   +11 more
doaj   +1 more source

Computational methods for predicting genomic islands in microbial genomes

Computational and Structural Biotechnology Journal, 2016
Clusters of genes acquired by lateral gene transfer in microbial genomes, are broadly referred to as genomic islands (GIs). GIs often carry genes important for genome evolution and adaptation to niches, such as genes involved in pathogenesis and antibiotic resistance.
Hon Wai Leong, Bingxin Lu
openaire   +3 more sources

Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship. [PDF]

PLoS ONE, 2017
Genomic prediction is emerging in a wide range of fields including animal and plant breeding, risk prediction in human precision medicine and forensic.
S Hong Lee, Sam Clark, Julius H J van der Werf   +2 more
doaj   +1 more source

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP [PDF]

, 2015
Background: The use of information across populations is an attractive approach to increase the accuracy of genomic prediction for numerically small populations.
M. P. L. Calus, S. van den Berg, T. H. E. Meuwissen, Y. C. J. Wientjes   +3 more
core   +4 more sources

Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP

PLoS ONE, 2014
We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D, Weigel KA, Kramer N, Stella A, Schon CC   +4 more
openaire   +5 more sources

Translating genomics into risk prediction [PDF]

Thorax, 2017
Cigarette smoking is a leading risk factor in the development of cardiovascular, pulmonary and malignant diseases worldwide.1 Yet, it remains one of the most challenging environmental exposures to quantify. Rudimentary categorisations of ‘never’, ‘former’ and ‘current’ smoker capture only a fraction of the complexity associated with the exposure ...
Dawn L. DeMeo, Emily S. Wan
openaire   +3 more sources