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Hiplot: A comprehensive and easy-To-use web service for boosting publication-ready biomedical data visualization
Li, Jianfeng1; Miao, Benben2; Wang, Shixiang3; Dong, Wei4; Xu, Houshi5; Si, Chenchen6; Wang, Wei7; Duan, Songqi8; Lou, Jiacheng9; Bao, Zhiwei10; Zeng, Hailuan11; Yang, Zengzeng12; Cheng, Wenyan13; Zhao, Fei1; Zeng, Jianming14; Liu, Xue Song15; Wu, Renxie16; Shen, Yang4; Chen, Zhu3; Chen, Saijuan1; Wang, Mingjie1,17
2022-07-01
Source PublicationBriefings in Bioinformatics
ISSN1467-5463
Volume23Issue:4
Abstract

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.

KeywordData Mining Data Visualization Risk Models Translational Medicine Web Service
DOI10.1093/bib/bbac261
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Mathematical & Computational Biology
WOS SubjectBiochemical Research Methods ; Mathematical & Computational Biology
WOS IDWOS:000820659000001
Scopus ID2-s2.0-85134721463
Fulltext Access
FWCI14.628708
Citation statistics
Cited Times [WOS]:18   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Shanghai Institute of Hematology, State Key Lab. of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
2.School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
3.College of Fisheries, Guangdong Ocean University, Guangdong, Zhanjiang, China
4.School of Life Science and Technology, ShanghaiTech University, Shanghai, China
5.Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
6.Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
7.Department of Histology Embryology Genetics and Developmental Biology, Shanghai Key Laboratory for Reproductive Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
8.Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, China
9.College of Food Science, Sichuan Agricultural University, Yaan, China
10.Department of Neurosurgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
11.State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
12.Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute for Metabolic Diseases, and Human Phenome Institute, Fudan University, Shanghai, China
13.Qinghai Academy of Animal and Veterinary Science, State Key Laboratory of Plateau Ecology and Agriculture in the Three River Head Waters Region, Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland Qinghai University, Xining, China
14.National Key Laboratory of Plant Molecular Genetics, Cas Ctr. for Excellence in Molec. Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
15.University of the Chinese Academy of Sciences, Beijing, China
16.Faculty of Health Sciences, University of Macau, Taipa, Macao
17.Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Recommended Citation
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).
APA Li, Jianfeng.,Miao, Benben.,Wang, Shixiang.,Dong, Wei.,Xu, Houshi.,Si, Chenchen.,Wang, Wei.,Duan, Songqi.,Lou, Jiacheng.,Bao, Zhiwei.,Zeng, Hailuan.,Yang, Zengzeng.,Cheng, Wenyan.,Zhao, Fei.,Zeng, Jianming.,Liu, Xue Song.,Wu, Renxie.,Shen, Yang.,Chen, Zhu.,...&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).
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