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CNVScope:可视化探索癌症基因组中的拷贝数变异

CNVScope: Visually Exploring Copy Number Aberrations in Cancer Genomes.

作者信息

Dalgleish James Lt, Wang Yonghong, Zhu Jack, Meltzer Paul S

机构信息

Genetics Branch, National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA.

出版信息

Cancer Inform. 2019 Dec 2;18:1176935119890290. doi: 10.1177/1176935119890290. eCollection 2019.

Abstract

MOTIVATION

DNA copy number (CN) data are a fast-growing source of information used in basic and translational cancer research. Most CN segmentation data are presented without regard to the relationship between chromosomal regions. We offer both a toolkit to help scientists without programming experience visually explore the CN interactome and a package that constructs CN interactomes from publicly available data sets.

RESULTS

The CNVScope visualization, based on a publicly available neuroblastoma CN data set, clearly displays a distinct CN interaction in the region of the , a canonical frequent amplicon target in this cancer. Exploration of the data rapidly identified and events, including a strong anticorrelation between 11q loss and17q gain with the region of 11q loss bounded by the cell cycle regulator .

AVAILABILITY

The shiny application is readily available for use at http://cnvscope.nci.nih.gov/, and the package can be downloaded from CRAN (https://cran.r-project.org/package=CNVScope), where help pages and vignettes are located. A newer version is available on the GitHub site (https://github.com/jamesdalg/CNVScope/), which features an animated tutorial. The CNVScope package can be locally installed using instructions on the GitHub site for Windows and Macintosh systems. This CN analysis package also runs on a linux high-performance computing cluster, with options for multinode and multiprocessor analysis of CN variant data. The shiny application can be started using a single command (which will automatically install the public data package).

摘要

动机

DNA拷贝数(CN)数据是基础癌症研究和转化癌症研究中快速增长的信息来源。大多数CN分割数据的呈现并未考虑染色体区域之间的关系。我们提供了一个工具包,帮助没有编程经验的科学家直观地探索CN相互作用组,以及一个从公开可用数据集中构建CN相互作用组的软件包。

结果

基于公开可用的神经母细胞瘤CN数据集的CNVScope可视化,清楚地显示了该区域中一种独特的CN相互作用,该区域是这种癌症中典型的频繁扩增靶点。对数据的探索迅速识别出了 和 事件,包括11q缺失与17q增益之间的强反相关性,其中11q缺失区域由细胞周期调节因子界定。

可用性

闪亮应用程序可在http://cnvscope.nci.nih.gov/上随时使用,该软件包可从CRAN(https://cran.r-project.org/package=CNVScope)下载,其中包含帮助页面和 vignettes。GitHub网站(https://github.com/jamesdalg/CNVScope/)上有一个更新版本,其中有动画教程。可以使用GitHub网站上针对Windows和Macintosh系统的说明在本地安装CNVScope软件包。这个CN分析软件包也可以在Linux高性能计算集群上运行,具有对CN变异数据进行多节点和多处理器分析的选项。闪亮应用程序可以使用单个命令启动(该命令将自动安装公共数据包)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffa7/6887803/afbc002a6105/10.1177_1176935119890290-fig1.jpg

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