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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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The Gene Expression Barcode 3.0: improved data processing and mining tools.

Matthew N McCall¹, Harris A Jaffee, Susan J Zelisko

¹Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA, Informatics and Systems Development, Loyola University Stritch School of Medicine, Maywood, IL 60153, USA, Nutrition, Metabolism & Genomics Group, Division of Human Nutrition, Wageningen University, The Netherlands, Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA and Center for Biomedical Informatics, Department of Pharmacology and Molecular Therapeutics, Loyola University Stritch School of Medicine, Maywood, IL 60153, USA.

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|November 26, 2013

Summary

This summary is machine-generated.

The Gene Expression Barcode project maps gene expression across all human and mouse tissues and cell types. This updated version offers new data mining tools and curated annotations for enhanced biological insights.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

The Gene Expression Barcode project aims to comprehensively map gene expression.
Understanding gene expression is crucial for basic cell biology and clinical applications.

Purpose of the Study:

To present improvements in the Gene Expression Barcode project since 2011.
To enhance the project's data mining tools, summaries, and annotations.

Main Methods:

Utilizes publicly available microarray datasets.
Employs single-array preprocessing, quality control, and analysis methods.
Incorporates new data mining tools and curated annotations.

Main Results:

Provides updated gene expression data for human and mouse tissues/cell types.
Introduces enhanced data mining capabilities and curated annotations.
Offers estimated transcriptomes for broader analysis.

Conclusions:

The updated Gene Expression Barcode project offers improved resources for biological research.
Enhanced tools facilitate hypothesis generation and clinical predictions.
The project continues to advance the understanding of gene expression across biological systems.