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.
基金：
Shanghai Science and Technology Commission, Science and technology Innovation Action Plan Sailing Project [21YF1440400]; State Key Laboratory of Medical Genomics, the Double First-Class Project from the Ministry of Education [WF510162602]
语种：
外文
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PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类|2 区生物学
小类|1 区数学与计算生物学1 区生化研究方法
最新[2023]版：
大类|2 区生物学
小类|1 区生化研究方法1 区数学与计算生物学
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出版当年[2022]版：
Q1BIOCHEMICAL RESEARCH METHODSQ1MATHEMATICAL & COMPUTATIONAL BIOLOGY
最新[2023]版：
Q1MATHEMATICAL & COMPUTATIONAL BIOLOGYQ1BIOCHEMICAL RESEARCH METHODS
第一作者机构：[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[*1]Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med,State Key Lab Med Genom, Natl Res Ctr Transladonal Med Shanghai,Shanghai I, Shanghai 200025, Peoples R China
通讯作者：
通讯机构：[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[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[*1]Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med,State Key Lab Med Genom, Natl Res Ctr Transladonal Med Shanghai,Shanghai I, Shanghai 200025, Peoples R China[*2]Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med,Shanghai Inst Hematol, Natl Res Ctr Translat Med,State Key Lab Med Genom, Shanghai 200025, Peoples R China[*3]Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med, Dept Gastroenterol, Shanghai 200025, Peoples R China[*4]School of Life Science and Technology,ShanghaiTech University,Shanghai 201210,China[*5]College of Fisheries,Guangdong Ocean University,Zhanjiang,Guangdong 524088,China
推荐引用方式(GB/T 7714)：
Li Jianfeng,Miao Benben,Wang Shixiang,et al.Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization[J].BRIEFINGS IN BIOINFORMATICS.2022,23(4):doi:10.1093/bib/bbac261.
APA：
Li, Jianfeng,Miao, Benben,Wang, Shixiang,Dong, Wei,Xu, Houshi...&Wang, Mingjie.(2022).Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization.BRIEFINGS IN BIOINFORMATICS,23,(4)
MLA：
Li, Jianfeng,et al."Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization".BRIEFINGS IN BIOINFORMATICS 23..4(2022)
生物学