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Article: Oncocis: Annotation of cis-regulatory mutations in cancer

TitleOncocis: Annotation of cis-regulatory mutations in cancer
Authors
Issue Date2014
Citation
Genome Biology, 2014, v. 15, n. 10 How to Cite?
AbstractWhole genome sequencing has enabled the identification of thousands of somatic mutations within non-coding genomic regions of individual cancer samples. However, identification of mutations that potentially alter gene regulation remains a major challenge. Here we present OncoCis, a new method that enables identification of pot ential cis-regulatory mutations using cell type-specific genome and epigenome-wide datasets along with matching gene expression data. We demonstrate that the use of cell type-specific information and gene expression can significantly reduce the number of candidate cis-regulatory mutations compared with existing tools designed for the annotation of cis-regulatory SNPs.
Persistent Identifierhttp://hdl.handle.net/10722/251124
ISSN
2012 Impact Factor: 10.288
2020 SCImago Journal Rankings: 9.027
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPerera, Dilmi-
dc.contributor.authorChacon, Diego-
dc.contributor.authorThoms, Julie Al-
dc.contributor.authorPoulos, Rebecca C.-
dc.contributor.authorShlien, Adam-
dc.contributor.authorBeck, Dominik-
dc.contributor.authorCampbell, Peter J.-
dc.contributor.authorPimanda, John E.-
dc.contributor.authorWong, Jason Wh-
dc.date.accessioned2018-02-01T01:54:40Z-
dc.date.available2018-02-01T01:54:40Z-
dc.date.issued2014-
dc.identifier.citationGenome Biology, 2014, v. 15, n. 10-
dc.identifier.issn1474-7596-
dc.identifier.urihttp://hdl.handle.net/10722/251124-
dc.description.abstractWhole genome sequencing has enabled the identification of thousands of somatic mutations within non-coding genomic regions of individual cancer samples. However, identification of mutations that potentially alter gene regulation remains a major challenge. Here we present OncoCis, a new method that enables identification of pot ential cis-regulatory mutations using cell type-specific genome and epigenome-wide datasets along with matching gene expression data. We demonstrate that the use of cell type-specific information and gene expression can significantly reduce the number of candidate cis-regulatory mutations compared with existing tools designed for the annotation of cis-regulatory SNPs.-
dc.languageeng-
dc.relation.ispartofGenome Biology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleOncocis: Annotation of cis-regulatory mutations in cancer-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s13059-014-0485-0-
dc.identifier.pmid25298093-
dc.identifier.scopuseid_2-s2.0-84942414286-
dc.identifier.volume15-
dc.identifier.issue10-
dc.identifier.spagenull-
dc.identifier.epagenull-
dc.identifier.eissn1474-760X-
dc.identifier.isiWOS:000346605500010-
dc.identifier.issnl1474-7596-

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