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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Updated: Jun 22, 2026

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

Importing ArrayExpress datasets into R/Bioconductor.

Audrey Kauffmann¹, Tim F Rayner, Helen Parkinson

¹EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. audrey@ebi.ac.uk

Bioinformatics (Oxford, England)

|June 10, 2009

Summary

This summary is machine-generated.

A new R/Bioconductor tool simplifies importing microarray datasets from ArrayExpress, a major public repository. This bioinformatics software enhances data accessibility for researchers using R/Bioconductor.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

ArrayExpress is a major public repository for microarray datasets.
R/Bioconductor offers extensive tools for microarray analysis and bioinformatics.
A gap existed in easily importing ArrayExpress data into R/Bioconductor.

Purpose of the Study:

To develop a user-friendly tool for importing ArrayExpress datasets into R/Bioconductor.
To facilitate seamless integration of public microarray data for analysis.

Main Methods:

Development of a dedicated R/Bioconductor package.
Implementation of functions for direct data retrieval and parsing from ArrayExpress.

Main Results:

A novel tool is presented for importing ArrayExpress microarray datasets.
The tool supports both interactive and automated data import workflows.

Conclusions:

The developed tool addresses the need for accessible ArrayExpress data import in R/Bioconductor.
This facilitates enhanced microarray data analysis and integrative bioinformatics research.