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 Global species tree sequence (bovine and honey bee) Led by Gabriela M. Fortuna 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 This article was published on 2024-09-02
