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

Wenlong Jia; Hechen Li; Shiying Li; Lingxi Chen; Shuai Cheng Li

doi:10.1093/nar/gkaa371

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Related Research Unit(s)

Detail(s)

Original language	English
Pages (from-to)	W415-W426
Journal / Publication	Nucleic Acids Research
Volume	48
Issue number	W1
Online published	11 May 2020
Publication status	Published - 2 Jul 2020

Link(s)

DOI	DOI https://doi.org/10.1093/nar/gkaa371 Final Published version
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Attachment(s)	Documents 47386138.pdf Final Published version, 11.3 MB, PDF Publisher's Copyright Statement This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85087320673&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(58cf40de-94d6-4c45-9fb6-df7e7fdd4d01).html

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/.