SnoopCGH: Software for visualizing comparative genomic hybridization data

Jacob Almagro-Garcia; Magnus Manske; Celine Carret; Susana Campino; Sarah Auburn; Bronwyn L. MacInnis; Gareth Maslen; Arnab Pain; Christopher I. Newbold; Dominic P. Kwiatkowski; Taane G. Clark

doi:10.1093/bioinformatics/btp488

SnoopCGH: Software for visualizing comparative genomic hybridization data

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	2732-2733
Number of pages	2
Journal	Bioinformatics
Volume	25
Issue number	20
DOIs	https://doi.org/10.1093/bioinformatics/btp488
State	Published - 2009
Externally published	Yes

Bibliographical note

Funding Information:
Funding: Bill and Melinda Gates Foundation; Wellcome Trust; Medical Research Council UK.

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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title = "SnoopCGH: Software for visualizing comparative genomic hybridization data",

abstract = "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.",

author = "Jacob Almagro-Garcia and Magnus Manske and Celine Carret and Susana Campino and Sarah Auburn and MacInnis, {Bronwyn L.} and Gareth Maslen and Arnab Pain and Newbold, {Christopher I.} and Kwiatkowski, {Dominic P.} and Clark, {Taane G.}",

note = "Funding Information: Funding: Bill and Melinda Gates Foundation; Wellcome Trust; Medical Research Council UK.",

year = "2009",

doi = "10.1093/bioinformatics/btp488",

language = "English (US)",

volume = "25",

pages = "2732--2733",

journal = "Bioinformatics",

issn = "1367-4803",

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T2 - Software for visualizing comparative genomic hybridization data

AU - Almagro-Garcia, Jacob

AU - Manske, Magnus

AU - Carret, Celine

AU - Campino, Susana

AU - Auburn, Sarah

AU - MacInnis, Bronwyn L.

AU - Maslen, Gareth

AU - Pain, Arnab

AU - Newbold, Christopher I.

AU - Kwiatkowski, Dominic P.

AU - Clark, Taane G.

N1 - Funding Information: Funding: Bill and Melinda Gates Foundation; Wellcome Trust; Medical Research Council UK.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

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U2 - 10.1093/bioinformatics/btp488

DO - 10.1093/bioinformatics/btp488

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SP - 2732

EP - 2733

JO - Bioinformatics

JF - Bioinformatics

IS - 20

ER -

SnoopCGH: Software for visualizing comparative genomic hybridization data

Abstract

Bibliographical note

ASJC Scopus subject areas

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