Computational Methods for the Analysis of Array Comparative Genomic Hybridization

Computational Methods for the Analysis of Array Comparative Genomic Hybridization

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Array comparative genomic hybridization (array CGH) is a technique for assaying the copy number status of cancer genomes. The widespread use of this technology has lead to a rapid accumulation of high throughput data, which in turn has prompted the development of computational strategies for the ana...

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Bibliographic Details
Main Authors: Raj Chari, William W. Lockwood, Wan L. Lam
Format: Article
Language:English
Published: SAGE Publishing 2006-01-01
Series:Cancer Informatics
Subjects:
Array CGH
microarray
cancer genome
software
bioinformatics
alteration detection
Online Access:http://la-press.com/article.php?article_id=111
Description
Summary:Array comparative genomic hybridization (array CGH) is a technique for assaying the copy number status of cancer genomes. The widespread use of this technology has lead to a rapid accumulation of high throughput data, which in turn has prompted the development of computational strategies for the analysis of array CGH data. Here we explain the principles behind array image processing, data visualization and genomic profile analysis, review currently available software packages, and raise considerations for future software development.
ISSN:1176-9351

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