UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data
Author(s) -
Shixiang Wang,
Yi Xiong,
Longfei Zhao,
Kai Gu,
Yin Li,
Fei Zhao,
Jianfeng Li,
Mingjie Wang,
Haitao Wang,
Ziyu Tao,
Tao Wu,
YiChao Zheng,
Xuejun Li,
Xuesong Liu
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab561
Subject(s) - upload , computer science , license , r package , interface (matter) , world wide web , data science , operating system , programming language , bubble , maximum bubble pressure method
UCSC Xena platform provides huge amounts of processed cancer omics data from large cancer research projects (e.g. TCGA, CCLE and PCAWG) or individual research groups and enables unprecedented research opportunities. However, a graphical user interface-based tool for interactively analyzing UCSC Xena data and generating elegant plots is still lacking, especially for cancer researchers and clinicians with limited programming experience. Here, we present UCSCXenaShiny, an R Shiny package for quickly searching, downloading, exploring, analyzing and visualizing data from UCSC Xena data hubs. This tool could effectively promote the practical use of public data, and can serve as an important complement to the current Xena genomics explorer.
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