What is Affymetrix microarray data?

What is Affymetrix microarray data?

Affymetrix microarray data are normalized in three steps: background correction, to adjust for hybridization effects unrelated to the interaction between probes and target DNA; normalization, to remove systematic errors and biases thereby allowing data to be compared from one array to another; summarization, combining …

What information is generated using a microarray?

A microarray is a two-dimensional arrangement of biological samples allowing for high-throughput analysis of genetic information. DNA microarrays are commonly used to genotype multiple regions of a genome or to generate lists of expressed genes from a cell.

What is microarray data analysis?

Microarray data analysis is the final step in reading and processing data produced by a microarray chip. Samples undergo various processes including purification and scanning using the microchip, which then produces a large amount of data that requires processing via computer software.

What is cDNA microarray used for?

The cDNA microarray is the most powerful tool for studying gene expression in many different organisms. It has been successfully applied to the simultaneous expression of many thousands of genes and to large-scale gene discovery, as well as polymorphism screening and mapping of genomic DNA clones.

What does a microarray test for?

A microarray is the recommended first line genetic test for developmental delay (DD), intellectual disability (ID) and autism spectrum disorders (ASD)*. CMA however, does not identify fragile X syndrome (FXS), a common cause of intellectual disability.

What are the types of microarray?

There are four different types of DNA microarrays: cDNA microarrays, oligo DNA microarrays, BAC microarrays and SNP microarrays. MMChips: MMchip allows the integrative analysis of cross-platform and between-laboratory data. It studies interactions between DNA and protein.

What are the applications of microarray?

It helps especially in the identification of single-nucleotide polymorphisms (SNPs) and mutations, classification of tumors, identification of target genes of tumor suppressors, identification of cancer biomarkers, identification of genes associated with chemoresistance, and drug discovery.

How do you start a microarray?

A basic protocol for a DNA microarray is as follows:

  1. Isolate and purify mRNA from samples of interest.
  2. Reverse transcribe and label the mRNA.
  3. Hybridize the labeled target to the microarray.
  4. Scan the microarray and quantitate the signal.

Where do I submit my microarray data to?

For all other microarray data, you should submit your data to GEO via GEO’s Submission page. BioAssay data and chemical substance information should be submitted to PubChem via the PubChem Upload Service. Submission of sequence-based reagents should go to the Probe database via the Probe submission protocol.

What do you need to know about microarrays?

In place of conducting experiments based on results from one or a few genes, microarrays allow for the simultaneous interrogation of hundreds or thousands of genes. Microarrays are microscope slides that contain an ordered series of samples (DNA, RNA, pro­tein, tissue).

Why are microarray and QRT-PCR datasets important?

The availability of the well-characterized RNA samples combined with the resulting microarray and QRT-PCR datasets, which were made readily accessible to the scientific community, allow individual laboratories to more easily identify and correct procedural failures.

Why do we need a microarray for RNA sequencing?

The availability of the calibrated RNA samples combined with the resulting microarray and QRT-PCR datasets, which will be made readily accessible to the microarray community, will allow individual laboratories to more easily identify and correct procedural failures.