Computation of recurrent minimal genomic alterations from array-CGH data | Zendy

Céline Rouveirol | Zendy; Nicolas Stransky | Zendy; Philippe Hupé | Zendy; Ph. La Rosa | Zendy; Eric Viara | Zendy; Emmanuel Barillot | Zendy; François Radvanyi | Zendy

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Computation of recurrent minimal genomic alterations from array-CGH data

Author(s) -

Céline Rouveirol,

Nicolas Stransky,

Philippe Hupé,

Ph. La Rosa,

Eric Viara,

Emmanuel Barillot,

François Radvanyi

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl004

Subject(s) - computer science , comparative genomic hybridization , identification (biology) , computation , discretization , copy number analysis , algorithm , high resolution , computational biology , copy number variation , biology , genome , genetics , mathematics , mathematical analysis , botany , gene , remote sensing , geology

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.

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