GREVE: Genomic Recurrent Event ViEwer to assist the identification of patterns across individual cancer samples

被引：10

作者：

Cazier, Jean-Baptiste ^{[1
]}

Holmes, Chris C. ^{[1
,2
]}

Broxholme, John ^{[1
]}

机构：

[1] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford OX3 7BN, England

[2] Univ Oxford, Dept Stat, Oxford OX1 3TG, England

来源：

BIOINFORMATICS | 2012年 / 28卷 / 22期

基金：

英国惠康基金;

关键词：

ACQUIRED UNIPARENTAL DISOMY; REGIONS;

D O I：

10.1093/bioinformatics/bts547

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

GREVE has been developed to assist with the identification of recurrent genomic aberrations across cancer samples. The exact characterization of such aberrations remains a challenge despite the availability of increasing amount of data, from SNParray to next-generation sequencing. Furthermore, genomic aberrations in cancer are especially difficult to handle because they are, by nature, unique to the patients. However, their recurrence in specific regions of the genome has been shown to reflect their relevance in the development of tumors. GREVE makes use of previously characterized events to identify such regions and focus any further analysis.

引用

页码：2981 / 2982

页数：2

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