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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: Jun 2, 2026

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

[Design and realization of a microarray data analysis platform].

Xian-He Sun¹, Yun-Bo Guo, Na Liu

¹Institude of Bioinformatics, School of Preclinical Medicine, Southern Medical University, Guangzhou 510515, China. heather_sun@126.com

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University

|April 26, 2011

Summary

This summary is machine-generated.

This study developed a user-friendly, browser-based platform for analyzing microarray data, including gene expression profiles for tuberculosis research. The platform simplifies complex data processing and analysis for researchers.

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Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

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Related Experiment Videos

Last Updated: Jun 2, 2026

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

Published on: August 6, 2013

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

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Published on: August 10, 2009

High-Density DNA and RNA microarrays - Photolithographic Synthesis, Hybridization and Preparation of Large Nucleic Acid Libraries

High-Density DNA and RNA microarrays - Photolithographic Synthesis, Hybridization and Preparation of Large Nucleic Acid Libraries

Published on: August 12, 2019

Area of Science:

Bioinformatics
Computational Biology
Genomics

Context:

Microarray technology generates large-scale gene expression data.
Efficient and accessible data analysis tools are crucial for biological research.
Existing platforms may lack user-friendliness or comprehensive functionalities.

Purpose:

To design and implement a web-based platform for processing and analyzing microarray data.
To integrate Perl, R, and Bioconductor packages for robust data analysis.
To provide a user-friendly interface for data submission and results visualization.

Summary:

The platform supports analysis of oligonucleotide and two-color spotted arrays.
It offers functions for data processing, quality assessment, biological annotation, and statistical analysis.
Case studies include analyzing gene expression in tuberculosis phenotypes and Mycobacterium tuberculosis response to INH treatment.

Impact:

Facilitates efficient microarray data analysis through an integrated, user-friendly interface.
Enables direct visualization of results, aiding in biological interpretation.
Provides valuable insights into tuberculosis susceptibility genes and drug response mechanisms.