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Data from: An upper bound for accuracy of prediction using GBLUP
- 负责人:
- 关键词:
- simulated genotypes
- DOI:
- doi:10.5061/dryad.3k8g5
- 摘要:
- efore, the total genome length simulated was 0.5M. When the genome length is 30M, to get the same genomic prediction R2 as with a 0.5M genome would require
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Data from: SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.n7m28
- 摘要:
- h prediction algorithms depends on the quality of the multiple-sequence alignment, which is used to infer how an amino acid substitution is tolerated at a given positi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models
- 负责人:
- Garcia, Antonio
- DOI:
- doi:10.5061/dryad.1139fm7
- 摘要:
- Genomic selection have been proposed as the standard method to predict breeding values in animal and plant breeding. Although some crops hav
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Data from: An improved hypergeometric probability method for identification of functionally linked proteins using phylogenetic profiles
- 负责人:
- DOI:
- doi:10.5061/dryad.m6t4j
- 摘要:
- Predicting functions of proteins and alternatively spliced isoforms encoded in a genome is one of the important applications of bioinformatic
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Data from: Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.ps22r
- 摘要:
- of genomic selection of additive (A) against additive+dominance (AD) models to predict the performance of untested maize single-cross hybrids for drought tole
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Genomic analysis and prediction within a US public collaborative winter wheat regional testing nursery
- 负责人:
- DOI:
- doi:10.5061/dryad.q968v83
- 摘要:
- The development of inexpensive, whole-genome profiling enables a transition to allele-based breeding using genomic prediction models. These models
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model
- 负责人:
- DOI:
- doi:10.5061/dryad.dd60v
- 摘要:
- for a limited fraction of total genetic variance. In comparison with GWAS, the whole-genome prediction (WGP) methods can increase prediction
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Prediction of genetic values of quantitative traits with epistatic effects in plant breeding populations
- 负责人:
- Wang, Dong
- 关键词:
- DOI:
- doi:10.5061/dryad.2sk59
- 摘要:
- . In this paper, we report the results on the prediction of genetic values with epistatic effects for 280 accessions in the Nebraska Wheat Breeding Program usi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.v4126t4
- 摘要:
- Widely used genomic prediction models may not properly account for heterogeneous (co)variance structure across the genome. Models such as BayesA
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
genomic regulatory regions predicted by utilizing human genomics, transcriptomics and epigenetics data"" data-category="" data-cropid="" data-dimen="" data-id="758ADCDB-827B-475A-99C5-A88881DFB110"> Supporting data for "Mammalian genomic regulatory regions predicted by utilizing human genomics, transcriptomics and epigenetics data"
- 负责人:
- 关键词:
- Genomic Software regulatory genomics mammalian genome enhancers promoters transcription factors
- DOI:
- doi:10.5524/100390
- 摘要:
- , is only beginning. A comprehensive prediction of potential active regulatory regions is necessary to functionally study the roles of the majority of genomic