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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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Related Experiment Video

Updated: Jul 5, 2026

Processing the Loblolly Pine PtGen2 cDNA Microarray

Processing the Loblolly Pine PtGen2 cDNA Microarray

Published on: March 20, 2009

Microarray data visualization and analysis with the Longhorn Array Database (LAD).

Patrick J Killion¹, Vishwanath R Iyer

¹University of Texas at Austin, Austin, Texas, USA.

Current Protocols in Bioinformatics

|April 23, 2008

Summary

This summary is machine-generated.

The Longhorn Array Database (LAD) offers a free, open-source solution for managing large DNA microarray datasets. This MIAME-compliant system ensures secure archiving, annotation, analysis, and visualization of genomic data.

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Last Updated: Jul 5, 2026

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Published on: March 20, 2009

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

DNA microarrays enable whole-genome functional characterization across diverse research settings.
Managing and analyzing large microarray datasets presents significant infrastructural and analytical challenges.
Data warehousing, annotation, and visualization are critical for effective microarray research.

Purpose of the Study:

To introduce the Longhorn Array Database (LAD) as a comprehensive solution for microarray data management.
To provide a MIAME-compliant database system for secure and efficient handling of vast experiment sets.
To offer a free and open-source software for deploying, configuring, and utilizing microarray analysis tools.

Main Methods:

Development of a MIAME-compliant database using PostgreSQL and Linux.
Implementation of features for secure data archiving, access control, and biological annotation.
Integration of quantitative analysis and visual exploration tools for microarray data.

Main Results:

LAD provides a systematic and proven environment for managing extensive microarray experiment data.
The database ensures safe archiving and secure access to experimental datasets.
LAD facilitates biological annotation, quantitative analysis, and visual exploration of microarray results.

Conclusions:

The Longhorn Array Database (LAD) is a robust, free, and open-source solution for addressing the challenges of DNA microarray data management.
LAD supports the complete lifecycle of microarray data, from archiving to analysis and visualization.
Successful deployment and utilization of LAD enable researchers to effectively leverage whole-genome functional characterization data.