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Computational Methods for the Analysis of Array Comparative Genomic Hybridization
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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Formato: | Texto |
Lenguaje: | English |
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Libertas Academica
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2067254/ https://www.ncbi.nlm.nih.gov/pubmed/17992253 |
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author | Chari, Raj Lockwood, William W. Lam, Wan L. |
author_facet | Chari, Raj Lockwood, William W. Lam, Wan L. |
author_sort | Chari, Raj |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2067254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-20672542007-11-08 Computational Methods for the Analysis of Array Comparative Genomic Hybridization Chari, Raj Lockwood, William W. Lam, Wan L. Cancer Inform Articles 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. Libertas Academica 2007-02-10 /pmc/articles/PMC2067254/ /pubmed/17992253 Text en © 2006 The authors. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Articles Chari, Raj Lockwood, William W. Lam, Wan L. Computational Methods for the Analysis of Array Comparative Genomic Hybridization |
title | Computational Methods for the Analysis of Array Comparative Genomic Hybridization |
title_full | Computational Methods for the Analysis of Array Comparative Genomic Hybridization |
title_fullStr | Computational Methods for the Analysis of Array Comparative Genomic Hybridization |
title_full_unstemmed | Computational Methods for the Analysis of Array Comparative Genomic Hybridization |
title_short | Computational Methods for the Analysis of Array Comparative Genomic Hybridization |
title_sort | computational methods for the analysis of array comparative genomic hybridization |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2067254/ https://www.ncbi.nlm.nih.gov/pubmed/17992253 |
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