SnoopCGH: software for visualizing comparative genomic hybridization data.

Almagro-Garcia, Jacob; Manske, Magnus; Carret, Celine; Campino, Susana; Auburn, Sarah; Macinnis, Bronwyn L; Maslen, Gareth; Pain, Arnab; Newbold, Christopher I; Kwiatkowski, Dominic P; +1 more... Clark, Taane G; (2009) SnoopCGH: software for visualizing comparative genomic hybridization data. Bioinformatics (Oxford, England), 25 (20). pp. 2732-2733. ISSN 1367-4803 DOI: https://doi.org/10.1093/bioinformatics/btp488

Abstract

UNLABELLED: 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 http://snoopcgh.sourceforge.net/

Additional Information

Item Type	Article
Faculty and Department	Faculty of Infectious and Tropical Diseases > Department of Infection Biology
PubMed ID	19687029
ISI	270685200016
Related URLs	OA Location