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A versatile web server for the analysis and comparison of genomic copy number alterations in multiple samples from any species. waviCGH processes data generated by high density SNP-arrays, array-CGH or copy-number calls generated by any technique. waviCGH includes methods for pre-processing of the data, segmentation, calling of gains and losses, and minimal common regions determination over a set of experiments. The server is a user-friendly interface to the analytical methods, with emphasis on results visualization in a genomic context. Analysis tools are introduced to the user as the different steps to follow in an experimental protocol. All the analysis steps generate high quality images and tables ready to be imported into spreadsheet programs. Additionally, for human, mouse and rat, altered regions are represented in a biological context by mapping them into chromosomes in an integrated cytogenetic browser.

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waviCGH classification

waviCGH specifications

Web user interface
Computer skills:
Restrictions to use:

waviCGH distribution

waviCGH support


  • Daniel Rico <>


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Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Spain; Structural Computational Biology Group, Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Spain; Breast Cancer Functional Genomics, Cancer Research UK, Cambridge, UK

Funding source(s)

National Institute for Bioinformatics, a platform of ‘Genoma España’; Fundacion de Investigacion Medica Mutua Madrileña (partial); Spanish Ministry of Science and Innovation (MICINN) (Project BIO2009-12458 and PTA2009-2853-I partial funding to A.C.)

Link to literature

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