title: Computational methods for the analysis of array comparative genomic hybridization.
abstract: 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.
authors.affiliation: Cancer Genetics and Developmental Biology, British Columbia Cancer Research Centre, Vancouver BC, Canada V5Z 1L3. rchari@bccrc.ca
authors.forename: Raj
authors.initials: R
authors.lastname: Chari
authors.forename: William W
authors.initials: WW
authors.lastname: Lockwood
authors.forename: Wan L
authors.initials: WL
authors.lastname: Lam