Sentence examples for vast throughput from inspiring English sources

With the advent of next-generation sequencing (NGS) technologies providing vast throughput for individual resequencing, a number of new algorithms have been developed for various SV types, including copy number variations (CNVs) [ 4– 8], and large deletion events [ 9].

The challenges pertaining to the utility of TA biomarkers are similar to those we face when we statistically filter out potential biomarkers from vast amounts of high throughput genomics data: our understanding of their function and role in cancer must be elevated to a degree where we can account for outliers and exceptions to the general rules known from clinical observations.

Several reports have described automatic clustering and classification of chemical substructures using various types of descriptor and fingerprint analyses to select candidates for scaffold hopping and second-stage screening of pharmaceutical compounds from vast amounts of high-throughput screening (HTS) data [3].

Given that vast volumes of high-throughput genetic and genomic data are being gathered at an increasingly faster pace, Stephen H Friend Sage Bionetworkss) emphasized the need for more efficient data sharing and storage to enable discovery.

With the advance of technologies (whole genome sequencing, expression profiling, and other high-throughput experiments), vast amounts of data, which cover different aspects of cellular physiology, have emerged [ 1, 2].

The vast amount of high-throughput data generated by ENCODE has provided tremendously valuable resources but we realized that the numbers of YY1-binding loci provided in original ENCODE datasets are large.

We selected this algorithm as it achieves optimal throughput for the vast majority of scenarios.

A promising trend for the application of computational methods in lead finding is to take advantage of the vast amounts of HTS (High Throughput Screening) data to allow lead assessment by detailed systems-based data analysis, especially for phenotypic screens where the identification of compound-target pairs is the primary goal.

High throughput technologies yield vast amounts of data.

This high throughput study of vast quantities of small molecules/metabolites in simple biofluids aims to provide a 'fingerprint' of metabolic processes and metabolic responses to pathophysiological and pharmaceutical intervention [ 72].

Not only true in glioma research, but even more generally, the emergence of vast amounts of biological high throughput data warrants computational tools that keep up with this positive, albeit rather problematic, development.