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The emergence and development of serum proteomics make the detection of protein biomarkers become of high throughput and high efficiency.
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Following the whole-genome sequencing of D. radiodurans in 1999 [16], comparative-genomic analysis revealed many distinctive genomic features that subsequently became the focus of high throughput experiments, including the analysis of transcriptome and proteome dynamics of D. radiodurans recovering from IR [46], [91], [92].
Such global analyses have become possible with the development of high throughput genomics technologies in both the field of nucleic acid sequencing and quantitative data acquisition.
Large scale genome-wide association studies (GWAS) have become popular since the introduction of high throughput genotyping platforms.
Large scale genome-wide association studies have become popular since the introduction of high throughput genotyping platforms.
Prediction of key pharmaceutical properties has become increasingly important with the use of high throughput screening (HTS).
The annotation of data has become increasingly important, particularly with the advent of high throughput data generation from large-scale 'omics' initiatives.
The ability to identify regions of the genome inherited with a dominant trait in one or more families has become increasingly valuable with the wide availability of high throughput sequencing technology.
Over the past few years, antisense transcription in human and other eukaryotic genomes has become increasingly evident due to the availability of high throughput sequencing technologies and strand-specific tiling oligonucleotide arrays [ 2- 4].
Since its release in 2012, ClinVar rapidly became a reference resource for the interpretation of high throughput genetic data [ 51].
With the advent of high throughput DNA typing, dense marker maps have become available to investigate genetic diversity on specific regions of the genome.
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