药物基因组学
基因组
计算机科学
Web服务
计算生物学
数据挖掘
生物信息学
生物
万维网
基因
遗传学
作者
Ji-Hye Choi,Hui-Seon Choi,Seong-Ho Cho,Ji-Hye Lee,Hyun Goo Woo
标识
DOI:10.1093/bioinformatics/btac642
摘要
Multi-omic profiling data, such as The Cancer Genome Atlas and pharmacogenomic data, facilitate research into cancer mechanisms and drug development. However, it is not easy for researchers to connect, integrate and analyze huge and heterogeneous data, which is a major obstacle to the utilization of cancer genomic data.We developed Cancer Genome Viewer (CGV), a user-friendly web service that provides functions to integrate and visualize cancer genome data and pharmacogenomic data. Users can easily select and customize the samples to be analyzed with the pre-defined selection options for patients' clinic-pathological features from multiple datasets. Using the customized dataset, users can perform subsequent data analyses comprehensively, including gene set analysis, clustering or survival analysis. CGV also provides pre-calculated drug response scores from pharmacogenomic data, which may facilitate the discovery of new cancer targets and therapeutics.CGV web service is implemented with the R Shiny application at http://cgv.sysmed.kr and the source code is freely available at https://git.sysmed.kr/sysmed_public/cgv.Supplementary data are available at Bioinformatics online.
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