Related Experiment Video
Updated: Aug 13, 2026
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Computation of recurrent minimal genomic alterations from array-CGH data
C Rouveirol1, N Stransky, Ph Hupé
1LRI, UMR CNRS 8623, Université Paris Sud, bât 490 91405 Orsay cedex, France. celine@lri.fr
Motivation:
The identification of recurrent genomic alterations can provide insight into the initiation and progression of genetic diseases, such as cancer. Array-CGH can identify chromosomal regions that have been gained or lost, with a resolution of approximately 1 mb, for the cutting-edge techniques. The extraction of discrete profiles from raw array-CGH data has been studied extensively, but subsequent steps in the analysis require flexible, efficient algorithms, particularly if the number of available profiles exceeds a few tens or the number of array probes exceeds a few thousands.
Results:
We propose two algorithms for computing minimal and minimal constrained regions of gain and loss from discretized CGH profiles. The second of these algorithms can handle additional constraints describing relevant regions of copy number change. We have validated these algorithms on two public array-CGH datasets.
Availability:
From the authors, upon request.
Contact:
celine@lri.fr
Supplementary Information:
Supplementary data are available at Bioinformatics online.
More Related Videos
16:37Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
Published on: August 5, 2008
09:32An Array-based Comparative Genomic Hybridization Platform for Efficient Detection of Copy Number Variations in Fast Neutron-induced Medicago truncatula Mutants
Published on: November 8, 2017