Introduction

Data visualization is playing an increasingly important role in scientific research. By using visual representations, we can better showcase the main features and patterns in scientific data. For instance, in the field of biomedicine, most clinical medical students and junior research workers generally need to spend tens of days or even months to familiarize themselves with and master common data visualization tools such as SPSS, Origin, and Graphpad. Only after this effort can they proceed with some basic statistical analysis and visualization. For those wishing to specialize in data analysis and modeling, additional learning of one or several programming languages (such as MATLAB, R, and Python) is required. Reaching a level where one can freely explore data, even further time is needed for in-depth study and advancement.

In light of this, Hiplot was created. Hiplot is a comprehensive, open, and free one-stop platform for biomedical visualization analysis that features a variety of functional modules. The cloud tools module encompasses nearly all scientific drawing and data analysis tools. The cloud workflow module provides customized omics data analysis automation. The cloud study module offers a full set of tutorials for mastering data analysis in the life sciences. On Hiplot, you can also learn the latest bioinformatics analysis techniques, keep up with the hottest scientific news, and even publish your personalized service demands on the cloud market, or share your own excellent code with the world. Hiplot aims not only at ordinary graphing and data analysis users but also offers a collaborative platform for software developers, meeting the graphing needs of a broad spectrum of clinical medical students and scientific researchers. Additionally, our comprehensive developer functions make us a more open platform where any excellent research tool can be published to a wide user audience.

Comprehensive and Open Library of Graphing and Data Analysis Functions

Hiplot is a comprehensive, open, free platform for visualization and scientific data analysis in life medicine, featuring more than 200 tools that cover biomedical data visualization, biostatistics, data processing, clinical models, and more. With its simple and user-friendly interface, alongside precise and reliable calculations, it connects the digital full process from basic scientific research to life science and then to clinical medicine. Additionally, you can apply to become a developer, join the Hiplot ecosystem, and deploy your exclusive tools to the world, facilitating scientific research for many researchers more conveniently-that is the essence of Hiplot. Hiplot, advancing research one step faster.

Standardized and Automated Omics Big Data Analysis Journey

Using Hiplot’s self-developed omics workflow analysis framework combined with WDL and Docker technology, built on a high-performance computing cluster, we provide an efficient and convenient user experience. Conforming to the GA4GH community’s open standards and integrating a wealth of process tools and public datasets, Hiplot achieves modular and versioned workflow management. It includes built-in genomic, transcriptomic, proteomic, metabolomic, microbiomic, and epigenomic analysis modules, embodying years of hands-on experience from our team, tracking the latest global software algorithms, and supporting personalized customization through our self-developed framework, leading to standardized, reliable, and flexible analysis reports. With a trusted analysis process comes authoritative, precise, and valuable analysis results. Hiplot, deciphering life through numbers, empowering precision medicine through big data.

Bioinformatics Tutorials, Submission Guides, Scientific Supplies

Hiplot prepares a wealth of learning resources and scientific materials for users and developers at different stages. “Give a man a fish and you feed him for a day; teach a man to fish and you feed him for a lifetime.” Here, one can find comprehensive “nanny-level” tutorials on bioinformatics analysis from beginner to expert. Users can join top-tier professionals in learning the latest techniques, delve into cutting-edge scientific and clinical research, and understand in-depth journal information and submission guides. Hiplot’s original intent is not only to advance life science but also to foster a cohort of top talent in the field. Together with everyone here, we grow with Hiplot. Hiplot - with no boundaries in science, we grow together.

Supply and Demand Connection, Post Customized Needs, Purchase Exclusive Services

With the rapid development of bioinformatics, data analysis needs are diverse. Even with Hiplot’s capabilities, it is impossible to be all-encompassing. For those with special graphing and analysis needs who struggle to find solutions, in addition to purchasing Hiplot’s exclusive customization services, one may also visit the demand market. Simply by articulating one’s needs, developers from across the web can be recruited to take up the challenge. Based on an end-to-end mentality, we foster a new Coder to Customer (C2C) service model-that is the new Hiplot mode, connecting supply and demand, interacting roles, all to push the progress of life science forward. Hiplot – harnessing the power of the platform, solving difficulties for everyone.