Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization

被引:155
|
作者
Li, Jianfeng [1 ,2 ]
Miao, Benben [3 ]
Wang, Shixiang [4 ]
Dong, Wei [5 ]
Xu, Houshi [6 ]
Si, Chenchen
Wang, Wei [7 ,8 ]
Duan, Songqi [9 ]
Lou, Jiacheng [10 ]
Bao, Zhiwei [11 ]
Zeng, Hailuan [12 ]
Yang, Zengzeng [13 ]
Cheng, Wenyan [14 ]
Zhao, Fei [15 ]
Zeng, Jianming [16 ]
Liu, Xue-Song [17 ]
Wu, Renxie [18 ]
Shen, Yang [19 ]
Chen, Zhu [20 ,21 ]
Chen, Saijuan [2 ,20 ]
Wang, Mingjie
机构
[1] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200025, Peoples R China
[2] Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med, Natl Res Ctr Translat Med, Shanghai, Peoples R China
[3] Guangdong Ocean Univ, Coll Fisheries, Zhanjiang 200240, Peoples R China
[4] Sun Yat Sen Univ, Canc Ctr, Dept Expt Res, Guangzhou, Peoples R China
[5] Sun Yat Sen Univ, Zhongshan Sch Med, Guangzhou, Peoples R China
[6] Shanghai Gen Hosp, Dept Neurosurg, Shanghai, Peoples R China
[7] Shanxi Med Univ, Hosp 1, Dept Urol, Xian, Peoples R China
[8] Shanxi Med Univ, Hosp 2, Dept Urol, Xian, Peoples R China
[9] Sichuan Agr Univ, Coll Food Sci, Chengdu, Peoples R China
[10] Dalian Med Univ, Hosp 2, Dalian, Peoples R China
[11] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Hangzhou, Peoples R China
[12] Fudan Univ, Zhongshan Hosp, Dept Endocrinol & Metab, Shanghai, Peoples R China
[13] Qinghai Univ, Acad Anim & Vet Sci, Xining, Peoples R China
[14] Shanghai Jiao Tong Univ, Ruijin Hosp, Shanghai Inst Hematol, State Key Lab Med Genom, Shanghai, Peoples R China
[15] Univ Chinese Acad Sci, Yijing Zhang Grp, Beijing, Peoples R China
[16] Univ Macau, Fac Hlth Sci, Taipa, Macau, Peoples R China
[17] ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 201210, Peoples R China
[18] Guangdong Ocean Univ, Coll Fisheries, Zhanjiang 524088, Guangdong, Peoples R China
[19] Shanghai Jiao Tong Univ, Ruijin Hosp, Natl Res Ctr Translat Med Shanghai, Sch Med, Shanghai, Peoples R China
[20] Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med, Shanghai Inst Hematol, Shanghai, Peoples R China
[21] Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biol, Shanghai, Peoples R China
关键词
web service; data visualization; data mining; risk models; translational medicine; EXPLORATION;
D O I
10.1093/bib/bbac261
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Complex biomedical data generated during clinical, omics and mechanism-based experiments have increasingly been exploited through cloud- and visualization-based data mining techniques. However, the scientific community still lacks an easy-to-use web service for the comprehensive visualization of biomedical data, particularly high-quality and publication-ready graphics that allow easy scaling and updatability according to user demands. Therefore, we propose a community-driven modern web service, Hiplot (https://hiplot.org), with concise and top-quality data visualization applications for the life sciences and biomedical fields. This web service permits users to conveniently and interactively complete a few specialized visualization tasks that previously could only be conducted by senior bioinformatics or biostatistics researchers. It covers most of the daily demands of biomedical researchers with its equipped 240+ biomedical data visualization functions, involving basic statistics, multi-omics, regression, clustering, dimensional reduction, meta-analysis, survival analysis, risk modelling, etc. Moreover, to improve the efficiency in use and development of plugins, we introduced some core advantages on the client-/server-side of the website, such as spreadsheet-based data importing, cross-platform command-line controller (Hctl), multi-user plumber workers, JavaScript Object Notation-based plugin system, easy data/parameters, results and errors reproduction and real-time updates mode. Meanwhile, using demo/real data sets and benchmark tests, we explored statistical parameters, cancer genomic landscapes, disease risk factors and the performance of website based on selected native plugins. The statistics of visits and user numbers could further reflect the potential impact of this web service on relevant fields. Thus, researchers devoted to life and data sciences would benefit from this emerging and free web service.
引用
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页数:15
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