Skip to content
#

quantitative-genetics

Here are 40 public repositories matching this topic...

Genetic evaluation in R: AI-REML variance components, breeding values and single-step genomics (ssGBLUP, APY), with reaction norms, indirect genetic effects, multi-trait, threshold and survival models. The numerics are C++ inside the package, with no run-time dependency.

  • Updated Oct 26, 2026
  • R

Benchmarking 86 heritability estimation configurations and downstream polygenic risk score performance across UK Biobank phenotypes. Associated paper: arXiv:2604.02394

  • Updated Oct 22, 2026
  • Python
AgriDataTools

Comprehensive biometrical and genetic analysis tools for plant breeders, researchers and agricultural scientists. It provides functions for randomized complete block design (rcbd), completely randomized design (crd), genetic variability, analysis of variance (ANOVA), post-hoc tests, multivariate diagnostics PCA and cluster analysis.

  • Updated Sep 5, 2026
  • R

Add this topic to your repo

To associate your repository with the quantitative-genetics topic, visit your repo's landing page and select "manage topics."

Learn more