Results 21 to 30 of about 551,388 (334)

The impact of genomic relatedness between populations on the genomic estimated breeding values

open access: yesJournal of Animal Science and Biotechnology, 2018
In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered
Peipei Ma   +7 more
doaj   +1 more source

How Population Structure Impacts Genomic Selection Accuracy in Cross-Validation: Implications for Practical Breeding

open access: yesFrontiers in Plant Science, 2020
Over the last two decades, the application of genomic selection has been extensively studied in various crop species, and it has become a common practice to report prediction accuracies using cross validation.
Christian R. Werner   +9 more
doaj   +1 more source

Prediction of operons in microbial genomes [PDF]

open access: yesNucleic Acids Research, 2001
Operon structure is an important organization feature of bacterial genomes. Many sets of genes occur in the same order on multiple genomes; these conserved gene groupings represent candidate operons. This study describes a computational method to estimate the likelihood that such conserved gene sets form operons.
Maria D. Ermolaeva   +2 more
openaire   +3 more sources

Increased Accuracy of Genomic Prediction Using Preselected SNPs from GWAS with Imputed Whole-Genome Sequence Data in Pigs

open access: yesAnimals, 2023
Enhancing the accuracy of genomic prediction is a key goal in genomic selection (GS) research. Integrating prior biological information into GS methods using appropriate models can improve prediction accuracy for complex traits.
Yiyi Liu   +12 more
doaj   +1 more source

Pan-genomic open reading frames: A potential supplement of single nucleotide polymorphisms in estimation of heritability and genomic prediction.

open access: yesPLoS Genetics, 2020
Pan-genomic open reading frames (ORFs) potentially carry protein-coding gene or coding variant information in a population. In this study, we suggest that pan-genomic ORFs are promising to be utilized in estimation of heritability and genomic prediction.
Zhengcao Li, Henner Simianer
doaj   +1 more source

Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits

open access: yesG3: Genes, Genomes, Genetics, 2020
Due to the ever-increasing data collected in genomic breeding programs, there is a need for genomic prediction models that can deal better with big data.
Abelardo Montesinos-López   +3 more
doaj   +1 more source

Promoter prediction in the human genome [PDF]

open access: yesBioinformatics, 2001
Abstract Computational prediction of eukaryotic polII promoters has been one of the most elusive problems despite considerable effort devoted to the study. Researchers have looked for various types of signals around the transcriptional start site (TSS), viz.
Sridhar Hannenhalli, Samuel Levy
openaire   +3 more sources

A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars.

open access: yesPLoS ONE, 2021
The present study aimed to improve the accuracy of genomic prediction of 16 agronomic traits in a diverse bread wheat (Triticum aestivum L.) germplasm under terminal drought stress and well-watered conditions in semi-arid environments.
Morteza Shabannejad   +4 more
doaj   +1 more source

Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

open access: yesFrontiers in Plant Science, 2021
Genomic prediction is a promising approach for accelerating the genetic gain of complex traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic prediction (GP) models remains a challenge in the successful implementation of ...
Harsimardeep S. Gill   +12 more
doaj   +1 more source

Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer

open access: yesScientific Reports, 2019
We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank ...
Louis Lello   +4 more
doaj   +1 more source

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