Sentence examples for various experimental technologies from inspiring English sources

There are a number of methods for analyzing 1-D electrophoretic data produced by various experimental technologies [ 19, 21- 29].

There are some image warping methods for 1-D electrophoretic data produced by various experimental technologies such as single-stranded conformational polymorphism (SSCP) or pulsed-field gel electrophoresis (PFGE) [ 19, 25- 27].

An important and challenge task in proteomics is the detection of protein complexes from the available protein-protein interaction (PPI) networks generated by various experimental technologies such as yeast-two-hybrid [ 7], affinity purification [ 8], mass spectrometry [ 9], etc.

Some projects, such as ENCODE [ 3] and FANTOM5 [ 13, 14], adopted various experimental technologies including ChIP- seq [ 15], DNase-seq [ 16], ChIA-PET [ 17], and CAGE [ 18- 21], and identified a lot of various regulatory regions throughout the human genome across hundreds of tissues and cell types [ 22].

Various experimental technologies, such as affinity purification mass spectrometry (AP-MS) [ 1], the yeast two-hybrid (Y2H) system [ 2], and protein arrays [ 3]–[ 5] have been applied to detection of genome-wide PPIs in many model species, including Homo sapiens[ 6], Drosophila melanogaster[ 7], Saccharomyces cerevisiae[ 8], and Caenorhabditis elegans[ 9].

Additionally, various experimental simulation technologies, including multi-agent systems, system dynamics, and game theory have been applied to credit systems simulation to explore the creation and evolution mechanisms of credit.

This process is facilitated by various experimental high-throughput technologies such as genome sequencing, gene expression profiling, ChIP-chip/ChIP-seq assays, protein-protein interaction screens, and mass spectrometry [ 2– 4].

The development of high throughput experimental technologies have given rise to the "-omics" era where terabyte-scale datasets for systems-level measurements of various cellular and molecular phenomena pose considerable challenges in data processing and extraction of biological meaning.

New markets, experimental technologies, all endorsed so polluters don't have to change their business models.

The CEO also said that some of Google's work on experimental technologies is actually quite practical.

In collaboration with various experimental groups worldwide, we concentrate on comparative genome analysis at various levels.