Sentence examples for many high throughput from inspiring English sources

These facts imply that the proposed method can be applied to suggest possible functions for functionally-unknown or hypothetical proteins, which are increasing rapidly because of many high throughput structural genomics efforts.

Many high throughput protein production platforms have been reported [ 19- 25].

Many high throughput studies have been conducted to define gene expression changes in plants submitted to stress [ 2- 5].

This compound has been identified in many high throughput small molecule assays as a non-specific inhibitor of protein nucleic acid interactions (Lam et al., 1995).

The ability to rapidly map millions of oligonucleotide fragments to a reference genome is crucial to many high throughput genomic technologies.

Currently, there are many high throughput SNP genotyping methods developed (as shown in Figure 1), including PCR resequencing [ 15], TaqMan probes [ 16], SNP microarrays [ 17], Matrix Assisted Laser Desorption/Ionization-Time of Flight (MALDI-TOF) [ 18], and others [ 19, 20].

However, many high-throughput SNP typing techniques require expensive and dedicated instruments, which render them out of reach for many laboratories.

For target fishing, vast amount of data in various measurements (Ki, Kd, IC50, inhibition rates and so on) are being generated daily from different sources, with the fast development of many high-throughput bioassay systems.

A simplistic approach to this problem would be to extend the seed until a mismatch occurs but this approach ignores both the additional information available in quality scores and the high error rate inherent in many high-throughput sequencing technologies.

Assays using 96- and 384-well plates are the standards for cell-based assays in both fundamental and pharmaceutical research; they serve as the basis of many high-throughput assays.

Indeed, recent empirical studies with gene expression data have shown that specific classifiers, such as Support Vector Machines (SVMs) produce models with stronger predictive ability (signal) and higher robustness across many high-throughput datasets compared to several widely-used alternatives [31] [33].