Software & Data

Our programs, scripts, and data

Below you can find standalone programs, scripts, and data for reproducing or augmenting our research. 

HighlanderLab public repositories of source code and scripts

HighlanderLab code repositories

SIMplyBee - simulating honeybee populations and breeding

Led by a team of bee-enthusiasts ;)

stdpopsim - standard population genetic simulation models

Contributions from a number of lab members

Optimising APY core subsets for scalable genomic prediction

Led by Ivan Pocrnic

AlphaPart - quantifying the drivers of genetic change

Led by Jana Obsteter and Thiago P. Oliveira

AlphaSimR - flexible modelling of breeding programmes

Led by Chris Gaynor

AlphaMate - optimising selection and management of diversity

Led by Gregor Gorjanc

AlphaSuite - tools for quantitative genetics, genomics, and breeding

Contributions from a large number of researchers

Temporal and genomic analysis of additive genetic variance

Led by Letícia A. C. Lara

Modelling gene drives to suppress an asian hornet population

Led by Yani Meiborg

Modelling gene drives to suppress a varroa population

Led by Nicky R. Faber

Modelling gene drives to suppress a grey squirrel population

Led by Nicky R. Faber

Modelling gene drives to suppress a mouse population

Led by Nicky R. Faber

Robust modelling of genetic values with expert knowledge

Led by Ingeborg G. Hem

Hierarchical modelling of haplotype effects leveraging tree/phylogeny

Led by Maria L. Selle

Spatial modelling improves genetic evaluation

Led by Maria L. Selle

Flexible modelling of spatial variation in agricultural field trials

Led by Maria L. Selle