Results 31 to 40 of about 536,771 (324)

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

Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction. [PDF]

open access: yes, 2017
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Xu, Shizhong
core   +2 more sources

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

Implications of avoiding overlap between training and testing data sets when evaluating genomic predictions of genetic merit [PDF]

open access: yes, 2010
The aim of this study was to evaluate and quantify the importance of avoiding overlap between training and testing subsets of data when evaluating the effectiveness of predictions of genetic merit based on genetic markers.
Amer, P. R., Banos, G.
core   +1 more source

Systematic Evaluation of Genomic Prediction Algorithms for Genomic Prediction and Breeding of Aquatic Animals

open access: yesGenes, 2022
The extensive use of genomic selection (GS) in livestock and crops has led to a series of genomic-prediction (GP) algorithms despite the lack of a single algorithm that can suit all the species and traits. A systematic evaluation of available GP algorithms is thus necessary to identify the optimal GP algorithm for selective breeding in aquaculture ...
Kuiqin Wang, Ben Yang, Qi Li, Shikai Liu
openaire   +2 more sources

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

Haplotype analysis of genomic prediction by incorporating genomic pathway information based on high-density SNP marker in Chinese yellow-feathered chicken

open access: yesPoultry Science, 2023
: Genomic selection using single nucleotide polymorphism (SNP) markers is now intensively investigated in breeding and has been widely utilized for genetic improvement.
Haoqiang Ye   +10 more
doaj   +1 more source

Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge space? [PDF]

open access: yes, 2006
The organization and mining of malaria genomic and post-genomic data is highly motivated by the necessity to predict and characterize new biological targets and new drugs. Biological targets are sought in a biological space designed from the genomic data
Bastien, Olivier   +14 more
core   +4 more sources

Το λογισμικό SpatialAnalyzer & εφαρμογές του σε προβλήματα βιομηχανικής γεωδαισίας [PDF]

open access: yes, 2014
This paper reports a first study exploring genomic prediction for adaptation of sorghum [Sorghum bicolor (L.) Moench] to drought-stress (D-ET) and nonstress (W-ET) environment types.
Atlin G. N.   +20 more
core   +1 more source

An Upper Bound for Accuracy of Prediction Using GBLUP. [PDF]

open access: yes, 2016
This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of the reference population increases for common or rare QTL alleles through simulations.
Cheng, Hao   +4 more
core   +2 more sources

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