Multi-omics-data-assisted genomic feature markers preselection improves the accuracy of genomic prediction
Abstract Background Presently, multi-omics data (e.g., genomics, transcriptomics, proteomics, and metabolomics) are available to improve genomic predictors. Omics data not only offers new data layers for genomic prediction but also provides a bridge between organismal phenotypes and genome variation...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-12-01
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| Series: | Journal of Animal Science and Biotechnology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40104-020-00515-5 |