CGH data analysis
Part 4. Bioinformatics
4.5. Computational Methods for High-throughput Genetic Analysis: Expression Profiling
Short Specialist Review
Published Online: 15 NOV 2005
Copyright © 2005 John Wiley & Sons, Ltd
Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics
How to Cite
Margolin, A. A., Greshock, J. and Weber, B. L. 2005. CGH data analysis. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 4:4.5:58.
- Published Online: 15 NOV 2005
Array comparative genomic hybridization (aCGH) is an emerging technology for measuring genome-wide DNA copy number. aCGH has been demonstrated as an effective tool in gene discovery and disease classification in cancer and other genetic disorders. This review describes recently employed analysis techniques for genomic copy number profiling using aCGH with a particular focus on how established gene expression array analysis techniques can be adapted for analysis of aCGH data. We intend this review to propose a framework to guide ongoing and future research in aCGH data analysis.
- comparative genomic hybridization;
- data analysis