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ChAMP: 450k Chip Analysis Methylation Pipeline.

Tiffany J Morris1, Lee M Butcher, Andrew Feber

  • 1Medical Genomics, and Statistical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Shanghai 200031, China and Institute of Environmental Medicine, Karolinska Instytutet, 17177 Stockholm, Sweden.

Bioinformatics (Oxford, England)
|December 17, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces ChAMP, an R package for analyzing DNA methylation data from the Illumina HumanMethylation450 BeadChip. It provides integrated analysis with popular normalization methods and novel approaches for differential methylation and copy number aberration detection.

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Area of Science:

  • Epigenetics
  • Genomics
  • Bioinformatics

Background:

  • High-throughput DNA methylation analysis is crucial for understanding cellular processes.
  • Existing methods for processing Illumina HumanMethylation450 BeadChip data have limitations.
  • A need exists for integrated and versatile analysis pipelines.

Purpose of the Study:

  • To present an integrated analysis pipeline for DNA methylation data.
  • To offer a selection of popular normalization methods.
  • To introduce novel methods for differential methylation analysis and copy number aberration detection.

Main Methods:

  • Development of the ChAMP R package.
  • Implementation of multiple normalization techniques.
  • Inclusion of new algorithms for identifying differentially methylated regions and copy number variations.

Main Results:

  • ChAMP provides a comprehensive workflow for HumanMethylation450 BeadChip data.
  • The pipeline integrates established and novel analytical approaches.
  • It facilitates robust identification of epigenetic changes and genomic alterations.

Conclusions:

  • ChAMP offers a valuable tool for researchers analyzing DNA methylation data.
  • The package enhances the efficiency and accuracy of epigenetic studies.
  • It supports advanced analyses including differential methylation and copy number aberration detection.