Detecting independent and recurrent copy number aberrations using interval graphs

Motivation: Somatic copy number aberrations (SCNAs) are frequent in cancer genomes, but many of these are random, passenger events. A common strategy to distinguish functional aberrations from passengers is to identify those aberrations that are recurrent across multiple samples. However, the extens...

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Main Authors:	Wu, Hsin-Ta, Hajirasouliha, Iman, Raphael, Benjamin J.
Format:	Online
Language:	English
Published:	Oxford University Press 2014
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058951/

id	pubmed-4058951
recordtype	oai_dc
spelling	pubmed-40589512014-06-18 Detecting independent and recurrent copy number aberrations using interval graphs Wu, Hsin-Ta Hajirasouliha, Iman Raphael, Benjamin J. Ismb 2014 Proceedings Papers Committee Motivation: Somatic copy number aberrations (SCNAs) are frequent in cancer genomes, but many of these are random, passenger events. A common strategy to distinguish functional aberrations from passengers is to identify those aberrations that are recurrent across multiple samples. However, the extensive variability in the length and position of SCNAs makes the problem of identifying recurrent aberrations notoriously difficult. Oxford University Press 2014-06-15 2014-06-11 /pmc/articles/PMC4058951/ /pubmed/24931984 http://dx.doi.org/10.1093/bioinformatics/btu276 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Wu, Hsin-Ta Hajirasouliha, Iman Raphael, Benjamin J.
spellingShingle	Wu, Hsin-Ta Hajirasouliha, Iman Raphael, Benjamin J. Detecting independent and recurrent copy number aberrations using interval graphs
author_facet	Wu, Hsin-Ta Hajirasouliha, Iman Raphael, Benjamin J.
author_sort	Wu, Hsin-Ta
title	Detecting independent and recurrent copy number aberrations using interval graphs
title_short	Detecting independent and recurrent copy number aberrations using interval graphs
title_full	Detecting independent and recurrent copy number aberrations using interval graphs
title_fullStr	Detecting independent and recurrent copy number aberrations using interval graphs
title_full_unstemmed	Detecting independent and recurrent copy number aberrations using interval graphs
title_sort	detecting independent and recurrent copy number aberrations using interval graphs
description	Motivation: Somatic copy number aberrations (SCNAs) are frequent in cancer genomes, but many of these are random, passenger events. A common strategy to distinguish functional aberrations from passengers is to identify those aberrations that are recurrent across multiple samples. However, the extensive variability in the length and position of SCNAs makes the problem of identifying recurrent aberrations notoriously difficult.
publisher	Oxford University Press
publishDate	2014
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058951/
_version_	1612101882486980608

Detecting independent and recurrent copy number aberrations using interval graphs

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