Although microarrays are still predominantly used for gene expression analysis, they are also finding application in genotyping and resequencing applications, as well as comparative genomic ...

The main steps involved and limitations of microarray analysis will be encountered. Two stages can be distinguished in microarray experiments: a pre-microarray experiment phase (tissue handling ...

A single microarray can provide information on the expression of tens of thousands of genes. The amount of information generated by a microarray-based experiment is sufficiently large that no ...

Data analysis for gene expression microarrays is an evolving field, Dr. Amaratunga emphasizes. “The technology is improving and people are running experiments with greater precision, but the ...

Microarrays experiments reveal changes in the mosquito transcriptome in response to infection and stress.

This enables customers to either completely outsource their microarray experiments or select one of the products or services.

The object model breaks the microarray experiment into its components and shows how those parts are related to one another. MAGE-ML, which is based on the computer language XML, flows directly ...

Microarrays allow scientists to see how differences in gene expression are linked to specific diseases. Improving and standardizing microarray experiments will also allow earlier detection of ...

(In your experiment these spots will be light pink.) • If a spot turns yellow, it means that that gene was neither strongly expressed nor strongly repressed in cancer cells.

An article published in the journal Bioinformatics & Biology Insights describes how researchers from the University of Munich compare in a meta-analysis of a large series of microarray experiments the ...

The problem, however, is that experiments with microarrays yield vast amounts of data. "Microarrays allow researchers to do in six months what previously would have taken six years of concerted ...

The high-throughput nature of microarray experiments imposes numerous limitations, which apply to simple issues such as sample acquisition and data mining, to more controversial issues that relate ...