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Genomic selection makes use of genome wide markers to predict total genetic value instead of phenotype and has been evaluated recently in apple [ 67].
Recent advances in genomic sequencing have enabled the use of genome sequencing in standard biological and biotechnological research projects.
The use of genome engineering in crop improvement has already revolutionised modern agriculture in less than thirty years.
In another recommendation, the report endorses the research use of genome data that are collected as part of health care.
Another important current use of genome editing is in the treatment of primary HIV infection, involving the elimination of the CCR5 co-receptor via ex vivo modification.
The development of the CRISPR Cas9 system (clustered regularly interspaced short palindromic repeats with associated Cas9 protein), in particular, has enabled widespread use of genome editing.
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Both GWAS and genomic selection (GS), a method for predicting phenotypes by the use of genome-wide marker data, are receiving considerable attention among plant breeders.
The use of genome-wide single nucleotide polymorphism (SNP) data has recently proven useful in the study of human population structure.
Analysis of additional larger samples, and the use of genome-wide association and high-throughput variant detection will lead to the identification of further genes for ASDs.
In recent years, the use of genome-wide technologies has revolutionized the study of eukaryotic transcription producing results for thousands of genes at every step of mRNA life.
Recently, a number of methods and tools have been proposed to allow the use of genome-scale metabolic models for the phenotype simulation and optimization of microbial strains, within the field of Metabolic Engineering (ME).
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