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In the past 20 years, there has been a steady increase in the rate of release of cultivars containing genes from CWR, and their contribution should only increase as the development of molecular technologies makes identification and utilization of diverse germplasm more efficient [2] [5].
Detection of pathogens from environmental samples is gaining momentum through the development of molecular technologies.
With the development of molecular technologies and 'omics' tools, microarray studies have become a useful strategy for the global analysis of plant gene expression.
However, to date there is no genome reference sequence to facilitate the development of molecular technologies that utilize high-throughput characterizations of gene expression and genetic variation.
BARC (Biobanking Analysis Resource Catalogue ): To keep researchers in academia and industry up to date with the rapid development of molecular technologies in the various '-omic' fields, the Biobanking Analysis Resource Catalogue, BARC, 29 has recently been created.
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However, high-density genotyping of many animals is very costly, and with the fast development of molecular technology, denser chips continue to be developed.
With the rapid development of molecular technology to readily type individuals, it is becoming relatively easy to carry out such genome searches for disease genes.
With the development of molecular technology and advancement in nanotechnology, DNA microarrays have been devised as a standard strategy for the global analysis of plant gene expression.
Over the past 15 years, the application of molecular technologies to the study of this neoplasm has revealed critical genetic pathways associated with the development of specific thyroid tumour subtypes.
Finally, another promising development is the use of molecular technology that allows large-scale gene expression profiling.
Our understanding of this heterogeneity has increased with the development of several molecular technologies, resulting in the identification of genetic subtypes and important biologic pathways in DLBCL gene expression profiling (GEP) that has been used to separate DLBCL into at least two distinct molecular subtypes.
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