However, inspired by successes in the genome-sequencing initiatives, recent years have seen major changes in X-ray crystallography methodologies and the concept of high-throughput crystallography has emerged.
With biotechnology companies operating under ever-increasing pressure towards lowering the cost of manufacturing, the use of high-throughput tools has emerged as a necessary enabler of QbD in a time- and resource-constrained environment.
Recently, however, a new type of high-throughput data has emerged and seen rapid proliferation in empirical biosciences the genome-wide fitness data.
At the other extreme, a very active field for computing graphical representations of biological networks through literature analysis or identification of correlations in high-throughput data has emerged.
Given its increasing availability and decreasing costs, high-throughput sequencing has emerged as an attractive approach for global miRNA analysis that provides advantages over the other two aforementioned technologies.
In the past decade, microarray analysis using high-throughput screening technology has emerged as an important tool to study gene expression patterns and to study molecular events in complex diseases [ 10- 12].
Because of the cost-inefficient and time-consuming process of conventional drug discovery over the past decade, high throughput virtual screening (HTVS) has emerged as an attractive and complementary approach to traditional solution based HTS.
High-throughput genotyping of SNPs has emerged as an important tool for study of early life history, migration, and conservation of non-model organisms including sockeye salmon [ 64- 66].
High throughput screening in invertebrate animals has emerged as a powerful tool for drug discovery, but whole vertebrate animal-based high throughput screening has yet to be developed and refined.
While high throughput mRNA sequencing (RNA-Seq) has emerged as a powerful tool for addressing these problems, its success is dependent upon the availability and quality of reference genome sequences, thus limiting the organisms to which it can be applied.
