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To illustrate this, for W1 1, an extra annual cost of €260 000 was more effective if used to implement a genomic breeding scheme than to improve the efficiency of the pBLUP scheme when the genotyping costs were low (regardless of the phenotyping cost of sibs), or when genotyping costs were medium and phenotyping costs of sibs were high.
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Implementing a genomic breeding scheme would generate large additional costs.
Another important question is the level of predictive value that is to be targeted before implementing a genomic profile.
In order to estimate separate molecular clock parameters for each partition whilst simultaneously minimising estimation variance, we implemented a genomic partition model in BEAST v1.5.4 [ 21].
We implemented a Bayesian genomic cline model that incorporates uncertainty in genotypic state inherent in next-generation sequence data [ 43], but is otherwise identical to the model described by [ 52].
(ii) implement an object-relational genomic catalog storing viral genome information correcting existing discrepacies.
In conclusion, we found that results for the accuracy of GEBV further support the notion that genomic evaluation using high-density genotypes imputed with high accuracy for selection candidates is a feasible method to implement a cost-efficient design for genomic selection in swine.
To identify putative RNA structures associated with the coding region for ribosomal protein S15 (rpsO), we implemented a computational pipeline, GAISR (Genomic Analysis for Illuminating Structured RNA, Figure 2) for de novo ncRNA discovery and candidate refinement.
In designing, developing, and implementing a national CDS infrastructure for genomic and personalized medicine, it will be important to leverage available resources.
In order to facilitate truly exploratory biological data mining we have designed and implemented a system where footprints over genomic features ranging in the order of hundreds of thousands can be rapidly constructed once the binary representation of the signals has been built.
We designed a model, termed hRMN that integrates different genomic features and implemented a variant of belief propagation for functional annotation transfer.
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