Cancer Informatics · 2006 · 10 citations · 24 references
ComputingGeneticsVisualizationData VisualizationGenomic Data AnalysisGenomicsCancer GenomicsComparative Genomic HybridizationGenome VisualizationGenomic Data VisualizationVisual Analytics For Scientific DataVisual Data ExplorationChromosomal Copy Number AberrationsChromosomal Copy Number AnalysisGenome Browser InfrastructureGenome Browser VisualizationInteractive Genomic VisualizationStructural Chromosomal Aberrations
Array-Comparative Genomic Hybridization (aCGH) is a powerful high throughput technology for detecting chromosomal copy number aberrations (CNAs) in cancer, aiming at identifying related critical genes from the affected genomic regions. However, advancing from a dataset with thousands of tabular lines to a few candidate genes can be an onerous and time-consuming process. To expedite the aCGH data analysis process, we have developed a user-friendly aCGH data viewer (aCGHViewer) as a conduit between the aCGH data tables and a genome browser. The data from a given aCGH analysis are displayed in a genomic view comprised of individual chromosome panels which can be rapidly scanned for interesting features. A chromosome panel containing a feature of interest can be selected to launch a detail window for that single chromosome. Selecting a data point of interest in the detail window launches a query to the UCSC or NCBI genome browser to allow the user to explore the gene content in the chromosomal region. Additionally, aCGHViewer can display aCGH and expression array data concurrently to visually correlate the two. aCGHViewer is a stand alone Java visualization application that should be used in conjunction with separate statistical programs. It operates on all major computer platforms and is freely available at http://falcon.roswellpark.org/aCGHview/ .
24
TM4: A Free, Open-Source System for Microarray Data Management and Analysis
A Saeed, Vasily Sharov, Joseph White et al. · BioTechniques · 2003 · 5K citations · Full text
Circular binary segmentation for the analysis of array-based DNA copy number data
Adam B. Olshen, E. S. Venkatraman, R. Lucito et al. · Biostatistics · 2004 · 2.4K citations
Assembly of microarrays for genome-wide measurement of DNA copy number
Antoine M. Snijders, Norma J. Nowak, Richard Segraves et al. · Nature Genetics · 2001 · 1K citations
Analysis of array CGH data: from signal ratio to gain and loss of DNA regions
Philippe Hupé, Nicolas Stransky, Jean Paul Thiery et al. · Bioinformatics · 2004 · 521 citations · Full text
Life Sciences, Genetics, Oncology +17