Sentence examples for data to the regulatory from inspiring English sources
In general, before any drug can be approved for use in animals intended for human consumption, a drug's sponsor must submit data to the regulatory agency detailing the drug's metabolism, toxicology test results, and residue levels in the target animal and/or laboratory animals.
A major challenge is how to integrate the diverse genomic data to identify the regulatory modules of miRNAs and genes.
Analyzing these data to infer the regulatory network is one of the key challenges in the computational systems biology.
This has led to the recognition and challenge of using spatial gene expression data to reconstruct the regulatory circuits responsible for those spatial patterns, such as in a recent case study of reverse engineering the well-studied gap gene network responsible for segmentation in the embryo of D. melanogaster[ 46- 49].
We use a reverse-engineering method, where mathematical models are fit to quantitative spatio-temporal reporter gene expression data to infer the regulatory mechanisms underlying gt expression in its anterior and posterior domains.
Some banks, for instance, employ teams of people, often one per product, whose sole task is to work out a plan to neatly store data to match the regulatory requirements.
To date, many studies have been proposed to use TFBS data to measure the regulatory similarity (RS) of two genes [ 4- 8].
This study used Bayesian GRN technology and microarray data to model the regulatory interactions after serum factor deprivation of EC, which induces cell cycle arrest and apoptosis.
The analysis by Gao et al. (2004) was one of a family of techniques to integrate binding and expression data to estimate the regulatory susceptibility of each S. cerevisiae promoter to each of a variety of TFs.
Here we use two types of high-throughput data to uncover the regulatory mechanism of TIIA in gastric cancer cells: transcription levels from next-generation sequencing (NGS) data, and isobaric tags for relative and absolute quantification (iTRAQ -based quantiTRAQ -basedeomics analysis.
Using multiple approaches, many based on second-generation sequencing, the ENCODE Project Consortium has produced voluminous and valuable data related to the regulatory networks that govern the expression of genes [ 24].
