Results 91 to 100 of about 3,820,379 (274)
Optimizing whole-genomic prediction for autotetraploid blueberry breeding
Heredity, 2020 Blueberry (Vaccinium spp.) is an important autopolyploid crop with significant benefits for human health. Apart from its genetic complexity, the feasibility of genomic prediction has been proven for blueberry, enabling a reduction in the breeding cycle ...
Ivone de Bem Oliveira +3 more
semanticscholar +1 more source
bioRxiv, 2020 Zinc (Zn) deficiency is a major risk factor for human health, affecting about 30% of the world’s population. To study the potential of genomic selection (GS) for maize with increased Zn concentration, an association panel and two doubled haploid (DH ...
Edna K Mageto +9 more
semanticscholar +1 more source
Statistical considerations for genomic selection [PDF]
Frontiers of Agricultural Science and Engineering, 2017 Genomic selection is becoming increasingly important in animal and plant breeding, and is attracting greater attention for human disease risk prediction.
Huimin KANG, Lei ZHOU, Jianfeng LIU
doaj +1 more source
Prediction of complete gene structures in human genomic DNA.
Journal of Molecular Biology, 1997 We introduce a general probabilistic model of the gene structure of human genomic sequences which incorporates descriptions of the basic transcriptional, translational and splicing signals, as well as length distributions and compositional features of ...
C. Burge, S. Karlin
semanticscholar +1 more source
Frontiers in Genetics, 2020 Genomic prediction is an effective way to estimate the genomic breeding values from genetic information based on statistical methods such as best linear unbiased prediction (BLUP). The used of haplotype, clusters of linked single nucleotide polymorphism (
Sohyoung Won +10 more
semanticscholar +1 more source
Progressive Mauve: Multiple alignment of genomes with gene flux and rearrangement [PDF]
arXiv, 2009 Multiple genome alignment remains a challenging problem. Effects of recombination including rearrangement, segmental duplication, gain, and loss can create a mosaic pattern of homology even among closely related organisms. We describe a method to align two or more genomes that have undergone large-scale recombination, particularly genomes that have ...
arxiv
First large-scale genomic prediction in the honey bee [PDF]
arXiv, 2022 Genomic selection has increased genetic gain in several livestock species, but due to the complicated genetics and reproduction biology not yet in honey bees. Recently, 2 970 queens were genotyped to gather a reference population. For the application of genomic selection in honey bees, this study analyses the predictive ability and bias of pedigree ...
arxiv
Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits
G3: Genes, Genomes, Genetics, 2019 The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to develop new and improved genomic prediction algorithms, such as artificial neural networks and gradient tree boosting.
Christina B. Azodi +5 more
semanticscholar +1 more source
Heuristic hyperparameter optimization of deep learning models for genomic prediction
bioRxiv, 2020 There is a growing interest among quantitative geneticists and animal breeders in the use of deep learning (DL) for genomic prediction. However, the performance of DL is affected by hyperparameters that are typically manually set by users.
Junjie Han +3 more
semanticscholar +1 more source
Animal, 2020 Combining different swine populations in genomic prediction can be an important tool, leading to an increased accuracy of genomic prediction using single nucleotide polymorphism (SNP) chip data compared with within-population genomic.
S. Ye, H. Song, X. Ding, Z. Zhang, J. Li
doaj