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UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data
Shixiang Wang1,2,3; Yi Xiong4,5,6; Longfei Zhao7; Kai Gu8; Yin Li9; Fei Zhao3,10; Jianfeng Li11,12; Mingjie Wang11; Haitao Wang13; Ziyu Tao1; Tao Wu1; Yichao Zheng7; Xuejun Li4,5; Xue-Song Liu1
2022-01-15
Source PublicationBIOINFORMATICS
ISSN1367-4803
Volume38Issue:2Pages:527-529
Abstract

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.

DOI10.1093/bioinformatics/btab561
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Computer Science ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology ; Mathematics
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS IDWOS:000743380100030
Scopus ID2-s2.0-85126337107
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Citation statistics
Document TypeJournal article
CollectionCentre for Precision Medicine Research and Training
Co-First AuthorShixiang Wang; Yi Xiong; Longfei Zhao
Corresponding AuthorXuejun Li; Xue-Song Liu
Affiliation1.School of Life Science and Technology, ShanghaiTech University, Shanghai, 201203, China
2.Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031, China
3.University of Chinese Academy of Sciences, Beijing, 100049, China
4.Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China
5.Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, 410008, China
6.Xiangya School of Medicine, Central South University, Changsha, 410013, China
7.School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450001, China
8.Roche Diagnostics (Shanghai) Limited, Shanghai, 201107, China
9.Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
10.CAS Center for Excellence in Molecular Plant Sciences, Shanghai, 200032, China
11.State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
12.School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
13.Center for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, 999087, Macao
Recommended Citation
GB/T 7714
Shixiang Wang,Yi Xiong,Longfei Zhao,et al. UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data[J]. BIOINFORMATICS, 2022, 38(2), 527-529.
APA 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., & Xue-Song Liu (2022). UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data. BIOINFORMATICS, 38(2), 527-529.
MLA Shixiang Wang,et al."UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data".BIOINFORMATICS 38.2(2022):527-529.
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