genomic-selection

🚴 Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction

A high-performance, ALL-in-ONE suite for quantitative genetics that unifies genome-wide association studies (GWAS) and genomic selection (GS).

Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]

easyPheno: a model agnostic phenotype prediction framework

2024 BreedWheat Genomic Selection pipeline

Prior Knowledge Dual-Path CNN

Robust optimal contirbution selection problems for genetics with Python

Training set determination for genomic selection.

Quantitative and population genetics analyses of populations, pools, half-sib/full-sib families, and polyploids

R package wrapping the GS3 program for genomic selection (http://genoweb.toulouse.inra.fr/~alegarra/).

A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

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.

Ensemble learning for integrative prediction of genetic values with genomic variants.

Reproducible documentation: Wolfe et al. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.

This is a public repository for relevant code from the publication of the same name.

Shiny app for playing with breeding strategy choices using realistic genotypes

Open-source R framework for simulating breeding populations and benchmarking genomic prediction methods.

The package is a CLI tool for benchmarking genomic selection models in plant breeding.

Code published alongside Stanschewski et al. (2026) - Genomic prediction in quinoa across contrasting environments using statistical and machine learning models