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Data distribution architecture (DDAR) has been designed conforming to new requirements, taking into account the type of data that is going to be generated from experiments in International Thermonuclear Experimental Reactor ITERR).
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An extensive data set is generated from experiments performed under industrial conditions.
As more omics data are generated from experiments, eliciting the integrated relationship between the external stimuli, the signaling process in the cell and the subsequent gene expression is a major challenge in systems biology.
Raw data are generated from experiments to start with and operations on it produce processed data.
All lists except (f) were generated from experiments using human cells or tissues.
These gene sets are generated from experiments designed to answer various biological questions.
However, it is reassuring that Vmax/ Km ratios of comparable magnitude were generated from experiments using the two different approaches.
Hundreds to thousands of candidate genes, or genes of interest, can now be generated from a single experiment utilizing high throughput screening technologies.
SNP data can be generated from two types of SNP typing experiments, namely an individual genotyping experiment (IGE) and a pooled allelotyping experiment (PAE), which can be carried out using a customized platform (e.g., MALDI-TOF mass spectrometry) or a genome-wide platform (e.g., Affymetrix and Illumina SNP chips).
A total of 193,671 spectra were generated from iTRAQ experiments at the five different time points.
As a comparison, 670,448 reads were generated from three experiments performed on nonselected input RNA.
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