Examples of using Microarray in English and their translations into Greek
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A key element in microarray experiments is chip design.
Bioinformatics plays multiple roles in microarray experiments.
Microarray analysis starts with measuring the fluorescent intensity of each spot.
Numerous others softwares exist for microarray data analysis, such as.
Chromosomal microarray testing that may be performed at about 18 weeks following invasive amniocentesis.
Chris: I take a sample of DNA, insert it in here and the Microarray and….
The most popular strategy for analysis of microarray data is the clustering of expression profiles.
Detection and typing of 17 respiratory viruses andHHV viruses by DNA low density microarray technique.
Called Sentinel Wrap,it's coated on one side with a microarray of droplets of DNA molecules known as DNAzymes.
Detection and typing of 35 Human PapillomaVirus(HPV)subtypes by low density DNA microarray technique.
The two samples are introduced to the microarray, where they hybridise with the probe DNA, becoming fixed in place.
By this I do not imply that students need to have access to high-throughput microarray or proteomics facilities.
The concept behind the DNA microarray experiment allows performance of comprehensive biochemical and molecular biology experiments.
Or try a hands-on activity to simulate a DNA microarray in the classroom?
Microarray technology has allowed identification of the transcriptomic signature of the window of receptivity window of implantation WOI.
(3) b. Describe how one could create the microarray using photolithography.
Microarray experiments can provide information about the behavior of every one of an organism's genes in response to environmental changes.
Furthermore, the European Bioinformatics Institute has been instrumental in setting up of standards for deposition of microarray data in databases.
AIM(Automatic Image Processing system for Microarray) provides a method for uncalibrated microarray gridding and quantitative image analysis.
MAIA is a software package for automatic processing of the one- and two-color images produced in cDNA,CGH or protein microarray technologies.
Such microarray analyses normally identify only active genes- those that have been transcribed into messenger RNA in the first stage of building proteins.
An expression profile can be visualized as a plot that describes the change in expression at one spot on a microarray grid over the course of the experiment.
DNA microarray analysis is a relatively new molecular biology method that expands on classic probe hybridization methods to provide access to thousands of genes at once.
Proper primer design is critical for the success of polymerase chain reaction(PCR), oligo hybridization,DNA sequencing, and microarray experiments.
In order for microarray results to be clear and unambiguous, each DNA probe in the array must be sufficiently unique that only one specific target gene can hybridize with it.
Based on our CLART® Technology, that consists on the performance of a previous multiplex PCR amplification process anda posterior identification with a low density microarray.
With the help of data processing and mining software, microarray technology allows scientists to determine in a single experiment the expression levels of thousands of genes within a cell.
In the present study, we quantified the changes in the expression levels of target genes of exo-miRNA andendo-miRNA in the cells transfected with fifteen different exo-miRNAs by microarray experiments.
After performing the virtual microarray experiment,students can discuss how microarray experiments are used in biomedical research, and the medical and ethical implications of this technology.
Advanced equipment is available for bacterial and cell culture, centrifugation separation, protein and DNA manipulation, gene amplification, microscopic analysis,digital imaging, and microarray fabrication and analysis.