Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms

The Overlay Tool © has been developed to combine high throughput data derived from various microarray platforms. This tool analyzes high-resolution correlations between gene expression changes and either copy number abnormalities (CNAs) or loss of heterozygosity events detected using array comparati...

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Main Authors: Ken C. Lo, Ganesh Shankar, Yaron Turpaz, Dione Bailey, Michael R. Rossi, Tania Burkhardt, Ping Liang, John K. Cowell Ph.D., D.Sc. FRCPath
Format: Article
Language:English
Published: SAGE Publishing 2007-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.1177/117693510700300003
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author Ken C. Lo
Ganesh Shankar
Yaron Turpaz
Dione Bailey
Michael R. Rossi
Tania Burkhardt
Ping Liang
John K. Cowell Ph.D., D.Sc. FRCPath
author_facet Ken C. Lo
Ganesh Shankar
Yaron Turpaz
Dione Bailey
Michael R. Rossi
Tania Burkhardt
Ping Liang
John K. Cowell Ph.D., D.Sc. FRCPath
author_sort Ken C. Lo
collection DOAJ
description The Overlay Tool © has been developed to combine high throughput data derived from various microarray platforms. This tool analyzes high-resolution correlations between gene expression changes and either copy number abnormalities (CNAs) or loss of heterozygosity events detected using array comparative genomic hybridization (aCGH). Using an overlay analysis which is designed to be performed using data from multiple microarray platforms on a single biological sample, the Overlay Tool © identifies potentially important genes whose expression profiles are changed as a result of losses, gains and amplifications in the cancer genome. In addition, the Overlay Tool © will incorporate loss of heterozygosity (LOH) probability data into this overlay procedure. To facilitate this analysis, we developed an application which computationally combines two or more high throughput datasets (e.g. aCGH/expression) into a single categorized dataset for visualization and interrogation using a gene-centric approach. As such, data from virtually any microarray platform can be incorporated without the need to remap entire datasets individually. The resultant categorized (overlay) data set can be conveniently viewed using our in-house visualization tool, aCGHViewer © (Shankar et al. 2006), which serves as a conduit to public databases such as UCSC and NCBI, to rapidly investigate genes of interest.
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spelling doaj.art-c9c9160ae5594a81b4e9ed6f5cc108052022-12-22T03:38:59ZengSAGE PublishingCancer Informatics1176-93512007-01-01310.1177/117693510700300003Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray PlatformsKen C. Lo0Ganesh Shankar1Yaron Turpaz2Dione Bailey3Michael R. Rossi4Tania Burkhardt5Ping Liang6John K. Cowell Ph.D., D.Sc. FRCPath7Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263.Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263.Affymetrix, Inc. Santa Clara, CA 95051.Affymetrix, Inc. Santa Clara, CA 95051.Yale University School of Medicine, Department of Cancer Genetics, New Haven, CT 06520.Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263.Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263.Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263.The Overlay Tool © has been developed to combine high throughput data derived from various microarray platforms. This tool analyzes high-resolution correlations between gene expression changes and either copy number abnormalities (CNAs) or loss of heterozygosity events detected using array comparative genomic hybridization (aCGH). Using an overlay analysis which is designed to be performed using data from multiple microarray platforms on a single biological sample, the Overlay Tool © identifies potentially important genes whose expression profiles are changed as a result of losses, gains and amplifications in the cancer genome. In addition, the Overlay Tool © will incorporate loss of heterozygosity (LOH) probability data into this overlay procedure. To facilitate this analysis, we developed an application which computationally combines two or more high throughput datasets (e.g. aCGH/expression) into a single categorized dataset for visualization and interrogation using a gene-centric approach. As such, data from virtually any microarray platform can be incorporated without the need to remap entire datasets individually. The resultant categorized (overlay) data set can be conveniently viewed using our in-house visualization tool, aCGHViewer © (Shankar et al. 2006), which serves as a conduit to public databases such as UCSC and NCBI, to rapidly investigate genes of interest.https://doi.org/10.1177/117693510700300003
spellingShingle Ken C. Lo
Ganesh Shankar
Yaron Turpaz
Dione Bailey
Michael R. Rossi
Tania Burkhardt
Ping Liang
John K. Cowell Ph.D., D.Sc. FRCPath
Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms
Cancer Informatics
title Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms
title_full Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms
title_fullStr Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms
title_full_unstemmed Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms
title_short Overlay Tool for aCGHViewer: An Analysis Module Built for aCGHViewer used to Perform Comparisons of Data Derived from Different Microarray Platforms
title_sort overlay tool for acghviewer an analysis module built for acghviewer used to perform comparisons of data derived from different microarray platforms
url https://doi.org/10.1177/117693510700300003
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