Visualization of data is required for most scientific research. Based on visual graphics, we can better display the major features of scientific data. The clinical medical students and junior researchers frequently need to spend dozens of days or even months to learn visualization tools, such as SPSS, Origin, and Graphpad. If you want to specialize in data analysis and modeling, you need to learn one or more programming languages (such as MATLAB, R, and Python). To reach the level where you can freely explore data, you need to spend more time on in-depth learning and advanced.
In recent years, with the development of various cloud computing platforms (such as Galaxy and DNAnexus in the biomedical field) and IT hardware and software (such as distributed computing, container technology, package manager, workflow language, etc.), junior researchers can easily obtain the upstream result. Moreover, when the upstream analysis process of conventional omics data tends to be stable and perfect, the customization and variability of the upstream analysis process have been greatly reduced. The visualization and personalized in-depth interpretation in the downstream process of data analysis have become the biggest challenge facing current users:
Hiplot is one of the community-driven bioinformatics data visualization platforms. This project started in October 2019 and accelerate in 2020 after COVID-19 breakout. It consists of a 6-person core team covering the IT, bioinformatics students, statistical analysts, and clinicians. The interdisciplinary cooperation may help us for better development of this application. The major development goals of Hiplot:
Untill now, we have been developed more than 40 visualization plugins on the Hiplot platform and are still increasing:
User Interface Examples:
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Overview of basic plots
Demo | Correlation heatmap
Demo | Immune Infiltration Analysis
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Manager of files
Online view and edit files
Online view and edit files
Download publications and supplementary data based on bget
Download publications and supplementary data based on bget
If you want to contribute the Hiplot project, you can fell free to join our community: Discord.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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