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ShanghaiTech University Knowledge Management System
UCSCXenaShiny: An R/CRAN Package for Interactive Analysis of UCSC Xena Data | |
2021-07 | |
发表期刊 | BIOINFORMATICS (IF:4.4[JCR-2023],7.6[5-Year]) |
ISSN | 1367-4803 |
EISSN | 1460-2059 |
卷号 | 38期号:2 |
发表状态 | 已发表 |
DOI | 10.1093/bioinformatics/btab561 |
摘要 | Summary: 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 (GUI) 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. Availability and implementation: UCSCXenaShiny is an open source R package under GPLv3 license and it is freely available at https://github.com/openbiox/UCSCXenaShiny or https://cran.r-project.org/package=UCSCXenaShiny. The docker image is available at https://hub.docker.com/r/shixiangwang/ucscxenashiny. Contact: Xue-Song Liu, liuxs@shanghaitech.edu.cn; Xuejun Li, lxjneuro@csu.edu.cn. Supplementary Information: Supplementary data are available at Bioinformatics online. |
关键词 | Cancer genome UCSC Xena UCSCXenaShiny Genome visualization |
URL | 查看原文 |
收录类别 | SCI ; SCIE |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[31771373,81472594,81770781] ; Shanghai Science and Technology Commission[21ZR1442400] |
WOS研究方向 | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics |
WOS类目 | Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability |
WOS记录号 | WOS:000743380100030 |
出版者 | OXFORD UNIV PRESS |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/127764 |
专题 | 生命科学与技术学院_博士生 生命科学与技术学院_PI研究组_刘雪松组 |
通讯作者 | Li, Xuejun; Liu, Xue-Song |
作者单位 | 1.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 201203, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Biochem & Cell Biol, Shanghai 200031, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Cent South Univ, Xiangya Hosp, Dept Neurosurg, Changsha 410008, Peoples R China 5.Cent South Univ, Xiangya Hosp, Hunan Int Sci & Technol Cooperat Base Brain Tumor, Changsha 410008, Peoples R China 6.Cent South Univ, Xiangya Sch Med, Changsha 410013, Peoples R China 7.Zhengzhou Univ, Sch Pharmaceut Sci, Zhengzhou 450001, Peoples R China 8.Roche Diagnost Shanghai Ltd, Shanghai 201107, Peoples R China 9.Fudan Univ, Zhongshan Hosp, Dept Thorac Surg, Shanghai 200032, Peoples R China 10.CAS Ctr Excellence Mol Plant Sci, Shanghai 200032, Peoples R China 11.Shanghai Jiao Tong Univ, Rui Jin Hosp, Natl Res Ctr Translat Med, State Key Lab Med Genom,Sch Med,Shanghai Inst Hem, Shanghai 200025, Peoples R China 12.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200240, Peoples R China 13.Univ Macau, Fac Hlth Sci, Ctr Precis Med Res & Training, Macau 999087, Peoples R China |
第一作者单位 | 生命科学与技术学院 |
通讯作者单位 | 生命科学与技术学院 |
第一作者的第一单位 | 生命科学与技术学院 |
推荐引用方式 GB/T 7714 | Wang, Shixiang,Xiong, Yi,Zhao, Longfei,et al. UCSCXenaShiny: An R/CRAN Package for Interactive Analysis of UCSC Xena Data[J]. BIOINFORMATICS,2021,38(2). |
APA | Wang, Shixiang.,Xiong, Yi.,Zhao, Longfei.,Gu, Kai.,Li, Yin.,...&Liu, Xue-Song.(2021).UCSCXenaShiny: An R/CRAN Package for Interactive Analysis of UCSC Xena Data.BIOINFORMATICS,38(2). |
MLA | Wang, Shixiang,et al."UCSCXenaShiny: An R/CRAN Package for Interactive Analysis of UCSC Xena Data".BIOINFORMATICS 38.2(2021). |
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