Tool:Hiplot: a simple and user-friendly visualization platform for scientific data

Question

[Hiplot]

Hiplot ORG

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 learning 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, due to the upstream analysis process of conventional omics tending to be stable, most of the junior researchers can easily obtain the upstream result using cloud computing platforms (such as Galaxy and DNAnexus in the biomedical field). The visualization and personalized in-depth interpretation in the downstream process of data analysis have become the major challenge:

1. Most of the visualization software or methods developed by the open-source user community have not been well integrated under a unified user interface;
2. There is no active collaborative community for the visualization of scientific research data;
3. There are several disadvantages of existing platforms and tools: the user interface is not beautiful enough; lack of Chinese and English support; it is still difficult to get started; the file manager of some platforms is not convenient; the user cannot actively participate in platform development;
4. Data visualization tools are still relatively scarce.

Hiplot ORG is one of the community-driven bioinformatics data visualization platforms. This project started in October 2019 and accelerate in 2020 after the COVID-19 breakout. It consists of a 6-person core team covering IT, bioinformatics students, statistical analysts, and clinicians. Interdisciplinary cooperation may help us for the better development of this application. The major development goals of Hiplot:

1. Provide simple and easy-to-use Web and RESTful APIs for the bioinformatics data visualization tools that are no graphical interface support yet;
2. Covering the basic statistics and visualization, predictable clinical models, data analysis of macrobiotics, and the bioinformatics applications of deep learning methods;
3. Building a collaborative bioinformatics community for data visualization.

If you want to develop the Hiplot visualization plugin or join our core team, you can feel free to contact us: [e-mail].

Besides, If you have a high-quality scientific research data analysis application, but no good-looking UI, no server resources. Welcome to contact us to deploy the application to the Hiplot platform:

• Strong hardware support

Powerful server clusters are your strongest backing (expandable high-performance nodes, each node supports 80v CPU, 512G memory and 100T high IO storage), we will provide reasonable and abundant hardware resource allocation for each app.

• Strong technical support

After you submit your own application, we will have professional technicians to interface with the application, and carry out UI design and performance optimization on the application, so that your application experience will be improved.

• Broad user population

Hiplot application has a wide coverage; connecting multiple scientific research media platforms at the same time can make your application extremely high in a very short time.

• Great personal prospects

For the app itself, constant use by someone will give rise to its tenacious vitality, which also places high demands on the developer himself. It is required that developers must continuously study literature and technology to improve their abilities. For outstanding application developers, the Hiplot team will have a whole set of cultivation systems from basic developers to core developers and have the opportunity to join the openbiox bioinformatics community. For every developer, it is an effective way to improve themselves and is very important for personal growth.

Best wishes,
Hiplot Core Team ([e-mail])

Answer 1

[Hiplot]

Dear colleagues,

Now, a total of 100+ tools are available. All users can directly sign up at https://hiplot.org/signup without the invitation code.

Best wishes,

Hiplot Core Team ([e-mail])

Answer 2

[Hiplot]

Dear colleagues,

Now, you can directly sign up here using a .edu mail (e.g. [e-mail]) without the invitation code.

Best wishes,

Hiplot Core Team ([e-mail])

Answer 3

[Hiplot]

Ten beta test invitation code (One Time):

• 9jpbjxJLJhIfiOFCfQ77JuFL
• znOy59nE8QT4tA6J9TV2x2aW
• tpNtNVQOt8Ffls0Gy2aDKrRC
• DGhLgU1NjJYPyFOUTxqzox3J
• JHBGsnkp77TVRsVyKFVEnYjp
• nXqib9TYmhboLuvRVEBWThka (used)
• ufp74yhGVpXyBkKwebkAIxoY
• cyeThzMO4k4nXBrQK0JuDEgK (used)
• sIjAVo2D8FZSY5MHXMgQYMZ6
• SVjT86YCJv92HuQpGRrGhzXC

Best wishes,

Hiplot Core Team ([e-mail])