Shiny app for playing with breeding strategy choices using realistic genotypes
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Updated
Nov 22, 2017 - R
Shiny app for playing with breeding strategy choices using realistic genotypes
Genomic Functional Regression in R [R Package - dev version]
R package wrapping the GS3 program for genomic selection (http://genoweb.toulouse.inra.fr/~alegarra/).
Polygenic Prediction of Complex Traits with Iterative Screen Regression Models
This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.
Reproducible documentation: Wolfe et al. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]
🚴 Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction
Training set determination for genomic selection.
easyPheno: a model agnostic phenotype prediction framework
This website is a project for analysis of the Genomic Selection for Drought Tolerance Using Genome Wide GBS and/or DART in Cassava by EMBRAPA Mandioca.
Minicourse "Application of genomic selection to data from multiple environments" with Professor PhD Kaio Dias in XIII SIGM by GENMELHOR.
2024 BreedWheat Genomic Selection pipeline
Quantitative and population genetics analyses of populations, pools, half-sib/full-sib families, and polyploids
Code associated with 'Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic'
Ensemble learning for integrative prediction of genetic values with genomic variants.
This is a public repository for relevant code from the publication of the same name.
This is a public repository for relevant code from the publication of the same name.
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