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Cited by 438

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

ImageGP: An easy‐to‐use data visualization web server for scientific researchers

Open access
Chen, Tong, Liu, Yong‐Xin, Huang, Luqi·2022·iMeta

Abstract

Data visualization plays a crucial role in illustrating results and sharing knowledge among researchers. Though many types of visualization tools are widely used, most of them require enough coding experience or are designed for specialized usages, or are not free. Here, we present ImageGP, a specialized visualization platform designed for biology and chemistry data illustration. ImageGP could generate generalized plots like lines, bars, scatters, boxes, sets, heatmaps, and histograms with the most common input content in a user‐friendly interface. Normally plotting using ImageGP only needs a few mouse clicks. For some plots, one only needs to just paste data and click submit to get the visualization results. Additionally, ImageGP supplies up to 26 parameters to meet customizable requirements. ImageGP also contains specialized plots like volcano plot, functional enrichment plot for most omics‐data analysis, and other four specialized functions for microbiome analysis. Since 2017, ImageGP has been running for nearly 5 years and serving 336,951 visits from all over the world. Together, ImageGP (http://www.ehbio.com/ImageGP/) is an effective and efficient tool for experimental researchers to comprehensively visualize and interpret data generated from wet‐lab and dry‐lab.

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Metadata

Authors
Chen, T., Liu, Y., & Huang, L.
Venue
iMeta
Publisher
Wiley
Published
2022-02-21
Volume
1
Issue
1
Pages
e5-e5
ISSN
2770-596X (ISSN-L)
OpenAlex
W4212823867
Cited by
438
References
14
FWCI
35.45
Type
journal article
Language
en
Open access
gold

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