synbreed: Framework for the Analysis of Genomic Prediction Data using R
A collection of functions required for genomic prediction which were developed within the Synbreed project for synergistic plant and animal breeding (<http://www.synbreed.tum.de>). 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 in plant and animal breeding. 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)
||methods, doBy, igraph, lattice, MASS, LDheatmap, abind, BGLR, regress (≥ 1.3-8), parallel, doParallel, foreach
||synbreedData (≥ 1.5)
||Valentin Wimmer, Hans-Juergen Auinger, Theresa Albrecht, Chris-Carolin Schoen with contributions by Larry Schaeffer, Malena Erbe, Ulrike Ober, Christian Reimer, Yvonne Badke and Peter VandeHaar
||Hans-Juergen Auinger <auinger at tum.de>
||synbreed citation info
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