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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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CpGassoc: an R function for analysis of DNA methylation microarray data.

Richard T Barfield¹, Varun Kilaru, Alicia K Smith

¹Department of Bioinformatics and Biostatistics, School of Public Health, Emory University at Atlanta, GA 30322, USA. rtbarfi@emory.edu

Bioinformatics (Oxford, England)

|March 28, 2012

Summary

This summary is machine-generated.

Researchers developed CpGassoc, an R package for efficient DNA methylation data analysis. This tool supports large datasets, quality control, and publication-quality plots for methylation studies.

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Area of Science:

Genomics
Bioinformatics
Statistical Genetics

Background:

High-density methylation microarrays are increasingly available, driving demand for advanced DNA methylation data analysis.
Efficient statistical methods are crucial for handling large and complex methylation datasets.

Purpose of the Study:

To develop an R package, CpGassoc, for efficient statistical analysis of DNA methylation data.
To provide a modular and expandable tool for researchers working with large-scale methylation datasets.

Main Methods:

CpGassoc is implemented in R, offering functions for rapid analysis using fixed or mixed effects models.
The package includes capabilities for basic quality control and permutation tests.
Results can be visualized using publication-quality plots.

Main Results:

CpGassoc enables efficient statistical analysis of large DNA methylation datasets.
The package provides a comprehensive suite of tools for methylation data analysis, from QC to visualization.

Conclusions:

CpGassoc is a valuable R package for the statistical analysis of DNA methylation data.
Its modular design and expandable features make it suitable for current and future large-scale methylation studies.