Skip Navigation


Bioinformatics Advance Access originally published online on August 16, 2009
Bioinformatics 2009 25(20):2732-2733; doi:10.1093/bioinformatics/btp488
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrowOA All Versions of this Article:
25/20/2732    most recent
btp488v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Google Scholar
Right arrow Articles by Almagro-Garcia, J.
Right arrow Articles by Clark, T. G
PubMed
Right arrow PubMed Citation
Right arrow Articles by Almagro-Garcia, J.
Right arrow Articles by Clark, T. G
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

SnoopCGH: software for visualizing comparative genomic hybridization data

Jacob Almagro-Garcia 1, Magnus Manske 1, Celine Carret 1, Susana Campino 1, Sarah Auburn 1, Bronwyn L MacInnis 1, Gareth Maslen 1, Arnab Pain 1, Christopher I Newbold 1,2, Dominic P Kwiatkowski 1,3 and Taane G Clark 1,3,*

1 Wellcome Trust Sanger Institute, Hinxton, 2 The Weatherall Institute of Molecular Medicine and 3 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK

* To whom correspondence should be addressed.


  Abstract

Summary: 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/

Contact: jg10{at}sanger.ac.uk; tc5{at}sanger.ac.uk

Associate Editor: John Quackenbush

Received on May 29, 2009; revised on August 9, 2009; accepted on August 11, 2009

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.