Sentence examples for growth of high throughput from inspiring English sources

The massive growth of high throughput data within molecular biology during the last decade has sparked an interest in systems biology and generated a great variety of suggestions on how to infer knowledge from these data sets.

With the fast growth of high throughput sequencing (HTS) technologies, the whole transcriptomes of small RNAs (sRNAs) have become easily available.

The computational-biology track seeks to provide state of the art understanding of this concomitant growth of high-throughput experimental techniques, computational techniques to analyze their data, the resulting new understandings of biological mechanisms and their applications to pharmacological and medical practice (from diagnosis to drug design).

Rapid growth of high-throughput transcriptomic data largely enables gene expression profiling and diagnostic targets identification in disease nowadays.

The growth of high-throughput technologies such as microarrays and next generation sequencing (NGS) has been accompanied by active research in data analysis methodology, producing new analysis methods at a rapid pace.

The growth of high-throughput technologies such as microarrays and next generation sequencing has been accompanied by active research in data analysis methodology, producing new analysis methods at a rapid pace.

The translational technologies in medicine along with the exponential growth of high-throughput data in genomics, transcriptomics, and proteomics are preparing for the coming era of personalized medicine to customize medical decisions and practices to individual patients [ 6, 8].

This article presents two distinctive types of high throughput thin film material growth approaches, along with a number of high throughput characterization techniques, established in the author's group.

This article describes techniques of high throughput combinatorial thin film material growth and characterization developed over the past several years.

With the advent of high throughput genomic and proteomic sequencing techniques, we are witnessing a tremendous growth in the sizes of biological sequence databases.

Along with the wide application of high throughput technologies, hundreds of millions genetic variants have been identified with a dramatic growth of dbSNP occurring after 2007 [ 1].