synbreed: Framework for the analysis of genomic prediction data using R
The package was developed within the Synbreed project for synergistic plant and animal breeding (www.synbreed.tum.de). It contains a collection of functions required for genomic prediction in both plant and animal breeding. This covers data processing, data visualization and analysis. All functions are embedded within the framework of a single, unified data object. The implementation is flexible with respect to a wide range of data formats. This research was funded by the German Federal Ministry of Education and Research (BMBF) within the AgroClustEr Synbreed - Synergistic plant and animal breeding (FKZ 0315528A).
||R (≥ 2.14), doBy, BLR, regress (≥ 1.3-8), abind
||lattice, igraph, MASS, LDheatmap, qtl, synbreedData (≥ 1.3)
||Valentin Wimmer, Theresa Albrecht, Hans-Juergen Auinger, Chris-Carolin Schoen with contributions by Larry Schaeffer, Malena Erbe, Ulrike Ober, Christian Reimer, Yvonne Badke and Peter VandeHaar
||Valentin Wimmer <Valentin.Wimmer at tum.de>
||synbreed citation info