SnoopCGH: software for visualizing comparative genomic hybridization data.

Almagro-Garcia, J; Manske, M; Carret, C; Campino, S; Auburn, S; Macinnis, BL; Maslen, G; Pain, A; Newbold, CI; Kwiatkowski, DP; Clark, TG; (2009) SnoopCGH: software for visualizing comparative genomic hybridization data. Bioinformatics (Oxford, England), 25 (20). pp. 2732-3. ISSN 1367-4803 DOI:

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Array-based comparative genomic hybridization (CGH) technology is used to discover and validate genomic structural variation, including copy number variants, insertions, deletions and other structural variants (SVs). The visualization and summarization of the array CGH data outputs, potentially across many samples, is an important process in the identification and analysis of SVs. We have developed a software tool for SV analysis using data from array CGH technologies, which is also amenable to short-read sequence data. Availability and implementation: SnoopCGH is written in java and is available from

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology
PubMed ID: 19687029
Web of Science ID: 270685200016


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