Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Highly Accessed Software

M-CGH: Analysing microarray-based CGH experiments

Junbai Wang12*, Leonardo A Meza-Zepeda12, Stine H Kresse13 and Ola Myklebost12

Author Affiliations

1 Department of Tumor Biology, The Norwegian Radium Hospital, Montebello, N-0310 Oslo, Norway

2 Department of Molecular Biosciences, University of Oslo, Oslo, Norway

3 Faculty of Medicine, University of Oslo, Oslo, Norway

For all author emails, please log on.

BMC Bioinformatics 2004, 5:74  doi:10.1186/1471-2105-5-74

Published: 9 June 2004



Microarray-based comparative genomic hybridisation (array CGH) is a technique by which variation in relative copy numbers between two genomes can be analysed by competitive hybridisation to DNA microarrays. This technology has most commonly been used to detect chromosomal amplifications and deletions in cancer. Dedicated tools are needed to analyse the results of such experiments, which include appropriate visualisation, and to take into consideration the physical relation in the genome between the probes on the array.


M-CGH is a MATLAB toolbox with a graphical user interface designed specifically for the analysis of array CGH experiments, with multiple approaches to ratio normalization. Specifically, the distributions of three classes of DNA copy numbers (gains, normal and losses) can be estimated using a maximum likelihood method. Amplicon boundaries are computed by either the fuzzy K-nearest neighbour method or a wavelet approach. The program also allows linking each genomic clone with the corresponding genomic information in the Ensembl database webcite.


M-CGH, which encompasses the basic tools needed for analysing array CGH experiments, is freely available for academics webcite, and does not require any other MATLAB toolbox.