Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping
Abstract Background Using whole genome sequence data might improve genomic prediction accuracy, when compared with high-density SNP arrays, and could lead to identification of casual mutations affecting complex traits. For some traits, the most accurate genomic predictions are achieved with non-line...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-08-01
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| Series: | BMC Genomics |
| Online Access: | http://link.springer.com/article/10.1186/s12864-017-4030-x |