Name
Abstract | ||
|---|---|---|
We present a novel R package named synbreed to derive genome-based predictions from high-throughput genotyping and large-scale phenotyping data. The package contains a comprehensive collection of functions required to fit and cross-validate genomic prediction models. All functions are embedded within the framework of a single, unified data object. Thereby a versatile genomic prediction analysis pipeline covering data processing, visualization and analysis is established within one software package. The implementation is flexible with respect to a wide range of data formats and models. The package fills an existing gap in the availability of user-friendly software for next-generation genetics research and education. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/bioinformatics/bts335 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Data processing,Computer science,Visualization,Software,Data objects,Bioinformatics,R package | Journal | 28 |
Issue | ISSN | Citations |
15 | 1367-4803 | 1 |
PageRank | References | Authors |
0.41 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentin Wimmer | 1 | 1 | 0.75 |
| Theresa Albrecht | 2 | 1 | 0.41 |
| Hans-Jürgen Auinger | 3 | 1 | 0.41 |
| Chris-Carolin Schön | 4 | 1 | 0.41 |