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Using expression arrays for copy number detection: an example from E. coli
BACKGROUND: The sequencing of many genomes and tiling arrays consisting of millions of DNA segments spanning entire genomes have made high-resolution copy number analysis possible. Microarray-based comparative genomic hybridization (array CGH) has enabled the high-resolution detection of DNA copy nu...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1914360/ https://www.ncbi.nlm.nih.gov/pubmed/17570850 http://dx.doi.org/10.1186/1471-2105-8-203 |
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author | Skvortsov, Dmitriy Abdueva, Diana Stitzer, Michael E Finkel, Steven E Tavaré, Simon |
author_facet | Skvortsov, Dmitriy Abdueva, Diana Stitzer, Michael E Finkel, Steven E Tavaré, Simon |
author_sort | Skvortsov, Dmitriy |
collection | PubMed |
description | BACKGROUND: The sequencing of many genomes and tiling arrays consisting of millions of DNA segments spanning entire genomes have made high-resolution copy number analysis possible. Microarray-based comparative genomic hybridization (array CGH) has enabled the high-resolution detection of DNA copy number aberrations. While many of the methods and algorithms developed for the analysis microarrays have focused on expression analysis, the same technology can be used to detect genetic alterations, using for example standard commercial Affymetrix arrays. Due to the nature of the resultant data, standard techniques for processing GeneChip expression experiments are inapplicable. RESULTS: We have developed a robust and flexible methodology for high-resolution analysis of DNA copy number of whole genomes, using Affymetrix high-density expression oligonucleotide microarrays. Copy number is obtained from fluorescence signals after processing with novel normalization, spatial artifact correction, data transformation and deletion/duplication detection. We applied our approach to identify deleted and amplified regions in E. coli mutants obtained after prolonged starvation. CONCLUSION: The availability of Affymetrix expression chips for a wide variety of organisms makes the proposed array CGH methodology useful more generally. |
format | Text |
id | pubmed-1914360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19143602007-07-13 Using expression arrays for copy number detection: an example from E. coli Skvortsov, Dmitriy Abdueva, Diana Stitzer, Michael E Finkel, Steven E Tavaré, Simon BMC Bioinformatics Methodology Article BACKGROUND: The sequencing of many genomes and tiling arrays consisting of millions of DNA segments spanning entire genomes have made high-resolution copy number analysis possible. Microarray-based comparative genomic hybridization (array CGH) has enabled the high-resolution detection of DNA copy number aberrations. While many of the methods and algorithms developed for the analysis microarrays have focused on expression analysis, the same technology can be used to detect genetic alterations, using for example standard commercial Affymetrix arrays. Due to the nature of the resultant data, standard techniques for processing GeneChip expression experiments are inapplicable. RESULTS: We have developed a robust and flexible methodology for high-resolution analysis of DNA copy number of whole genomes, using Affymetrix high-density expression oligonucleotide microarrays. Copy number is obtained from fluorescence signals after processing with novel normalization, spatial artifact correction, data transformation and deletion/duplication detection. We applied our approach to identify deleted and amplified regions in E. coli mutants obtained after prolonged starvation. CONCLUSION: The availability of Affymetrix expression chips for a wide variety of organisms makes the proposed array CGH methodology useful more generally. BioMed Central 2007-06-14 /pmc/articles/PMC1914360/ /pubmed/17570850 http://dx.doi.org/10.1186/1471-2105-8-203 Text en Copyright © 2007 Skvortsov et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Skvortsov, Dmitriy Abdueva, Diana Stitzer, Michael E Finkel, Steven E Tavaré, Simon Using expression arrays for copy number detection: an example from E. coli |
title | Using expression arrays for copy number detection: an example from E. coli |
title_full | Using expression arrays for copy number detection: an example from E. coli |
title_fullStr | Using expression arrays for copy number detection: an example from E. coli |
title_full_unstemmed | Using expression arrays for copy number detection: an example from E. coli |
title_short | Using expression arrays for copy number detection: an example from E. coli |
title_sort | using expression arrays for copy number detection: an example from e. coli |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1914360/ https://www.ncbi.nlm.nih.gov/pubmed/17570850 http://dx.doi.org/10.1186/1471-2105-8-203 |
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