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Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

CGHnormaliter: a Bioconductor package for normalization of array CGH data with many CNAs.

Bart P P van Houte1, Thomas W Binsl, Hannes Hettling

  • 1Centre for Integrative Bioinformatics VU, VU University Amsterdam, De Boelelaan 1081A, 1081 HV Amsterdam, The Netherlands.

Bioinformatics (Oxford, England)
|April 27, 2010
PubMed
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CGHnormaliter normalizes array comparative genomic hybridization (aCGH) data using an iterative method. This package improves the reliability of copy number alteration (CNA) assessments and integrates with Bioconductor for further analysis.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Array comparative genomic hybridization (aCGH) is a technique used to detect genomic copy number variations.
  • Imbalanced copy numbers can affect the accuracy of aCGH data analysis.

Purpose of the Study:

  • To introduce CGHnormaliter, an R package for normalizing aCGH data.
  • To provide a reliable method for assessing copy number alterations (CNAs).

Main Methods:

  • CGHnormaliter employs an iterative normalization procedure.
  • The package is implemented in the R programming language.

Main Results:

  • The iterative procedure effectively eliminates the influence of imbalanced copy numbers.
  • This leads to a more reliable assessment of CNAs.

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Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
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Detection of Copy Number Alterations Using Single Cell Sequencing
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Conclusions:

  • CGHnormaliter offers a robust solution for aCGH data normalization.
  • The package integrates seamlessly with the Bioconductor environment, facilitating downstream analysis and visualization.