Abstract

Graphics are widely used to provide summarization of complex data in scientific publications. Although there are many tools available for drawing graphics, their use is limited by programming skills, costs, and platform specificities. Here, we presented a freely accessible easy-to-use web server named SRplot that integrated more than a hundred of commonly used data visualization and graphing functions together. It can be run easily using all Web browsers and there are no strong requirements on the computing power of users’ machines. With a user-friendly graphical interface, users can simply paste the contents of the input file into the text box according to the defined file format. Modification operations can be easily performed, and graphs can be generated in real-time. The resulting graphs can be easily downloaded in bitmap (PNG or TIFF) or vector (PDF or SVG) format in publication quality. The website is updated promptly and continuously. Functions in SRplot have been improved, optimized and updated depend on feedback and suggestions from users. The graphs prepared with SRplot have been featured in more than five hundred peer-reviewed publications. The SRplot web server is now freely available at http://www.bioinformatics.com.cn/SRplot .

Keywords

Computer scienceScalable Vector GraphicsBitmapVisualizationAutomatic summarizationGraphicsGraphical user interfaceVector graphicsData visualizationWorld Wide WebFile formatWeb serverInterface (matter)Information retrievalComputer graphics (images)DatabaseThe InternetData miningOperating system

MeSH Terms

SoftwareData VisualizationComputer GraphicsWeb BrowserInternetUser-Computer Interface

Affiliated Institutions

Related Publications

Publication Info

Year
2023
Type
article
Volume
18
Issue
11
Pages
e0294236-e0294236
Citations
1667
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1667
OpenAlex
71
Influential
1594
CrossRef

Cite This

Doudou Tang, Mingjie Chen, Xinhua Huang et al. (2023). SRplot: A free online platform for data visualization and graphing. PLoS ONE , 18 (11) , e0294236-e0294236. https://doi.org/10.1371/journal.pone.0294236

Identifiers

DOI
10.1371/journal.pone.0294236
PMID
37943830
PMCID
PMC10635526

Data Quality

Data completeness: 90%