In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a ...

The field of DNA microarray data analysis is getting increasingly complicated as scientists develop new array technologies and analysis algorithms, yet accurate introductory information on the ...

Substrates for microarray analysis must provide stable attachment of array elements, low background signals, homogeneous surface chemistry and high-quality data.

Microarray technology allows the simultaneous monitoring of expression levels of thousands of genes and even whole genomes. But the experiments themselves represent only the opening act. The grand ...

DNA microarray analysis was first described in the mid-1990s as a means to probe the expression of thousands of genes simultaneously 1,2 and was quickly adopted by the research community for the ...

Perhaps the biggest challenge to microarray technology is standardization--ensuring that data collected from different microarray platforms can be accurately compared. Compounding this problem is the ...

Bioinformatics-analysis division is a division of CD Genomics, which provides reliable next-generation and third-generation high-throughput sequencing data analysis, comprehensive technology services, ...

Microarray data is to gene expression what genomic sequences are to molecular biology—a wonderful collection of information to have, but where, or how, does one start analyzing it? Fortunately ...

The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer-associated genes.