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Oviz-Bio:一个基于网络的交互式癌症基因组学数据可视化平台。

Oviz-Bio: a web-based platform for interactive cancer genomics data visualization.

机构信息

Department of Computer Science, City University of Hong Kong, Kowloon Tong 999077, Hong Kong.

Department of Biomedical Engineering, City University of Hong Kong, Kowloon Tong 999077, Hong Kong.

出版信息

Nucleic Acids Res. 2020 Jul 2;48(W1):W415-W426. doi: 10.1093/nar/gkaa371.

Abstract

Genetics data visualization plays an important role in the sharing of knowledge from cancer genome research. Many types of visualization are widely used, most of which are static and require sufficient coding experience to create. Here, we present Oviz-Bio, a web-based platform that provides interactive and real-time visualizations of cancer genomics data. Researchers can interactively explore visual outputs and export high-quality diagrams. Oviz-Bio supports a diverse range of visualizations on common cancer mutation types, including annotation and signatures of small scale mutations, haplotype view and focal clusters of copy number variations, split-reads alignment and heatmap view of structural variations, transcript junction of fusion genes and genomic hotspot of oncovirus integrations. Furthermore, Oviz-Bio allows landscape view to investigate multi-layered data in samples cohort. All Oviz-Bio visual applications are freely available at https://bio.oviz.org/.

摘要

遗传学数据可视化在癌症基因组研究知识共享中发挥着重要作用。有许多类型的可视化方法被广泛应用,其中大多数都是静态的,需要有足够的编码经验才能创建。在这里,我们介绍一个基于网络的平台 Oviz-Bio,它提供了癌症基因组学数据的交互式和实时可视化。研究人员可以交互式地探索可视化输出并导出高质量的图表。Oviz-Bio 支持多种常见癌症突变类型的可视化,包括小尺度突变的注释和特征、单倍型视图和焦点拷贝数变异簇、结构变异的拆分读取对齐和热图视图、融合基因的转录连接和致癌病毒整合的基因组热点。此外,Oviz-Bio 允许景观视图来研究样本队列中的多层次数据。所有的 Oviz-Bio 可视化应用程序都可以在 https://bio.oviz.org/ 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8e8/7319551/0bcd0ba9f42e/gkaa371fig1.jpg

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