Data Analysis

Analyze your data intuitively with over 40+ algorithms and visualizations, without the need to code

Key Features

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40+ out of the box algorithms and visualizations

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Multi technology supported

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Leverage cloud compute power

Introducing no-coding biomedical data analysis opens the door to a world where researchers and healthcare professionals can explore and interpret complex biological data without the need for programming expertise.

The UniApp revolutonizes bioinformatics by leveraging user-friendly interfaces, intuitive point-and-click functionalities, and a vast set of scientifically validated analysis algorithms. By eliminating the coding barrier, the UniApp empowers you to effortlessly analyze, visualize and interpretate your valuable data.

Whether unravelling genomic sequences, analyzing clinical datasets, or exploring molecular interactions, our no-code platforms offers a streamlined and accessible solution for accelerating your research.

No coding, 40+ out of the box algorithms and visualizations

Unlock the power of your data effortlessly with the UniApp. Our intuitive toolkit empowers you to delve into your data like never before. Whether you’re a seasoned data analyst or just starting your journey, we provide the tools to build valuable insights with ease.
From basic exploratory analysis to advanced meta-analyses, the UniApp has you covered.

With a comprehensive suite of features and built-in algorithms, you can perform a wide range of analyses without needing to switch between multiple tools and without the need to learn any coding program (e.g. R, Python). If you know what you want to analyze, running algorithms is just a matter of clicking.

Multi-technology supported

Multi-omics biomedical data analysis involves integrating and analyzing various types of biological data to gain comprehensive insights into complex biological systems. Our platform support most common data formats for Single-cell RNA-seq, Spatial, Transcriptomics, Proteomics, Metabolomics.

Through the integration of multiple omics layers, researchers can uncover novel associations and elucidate intricate molecular mechanisms underlying disease pathogenesis. Our UniApp platform facilitates an integrated (meta) analysis of multi-omics data, empowering researchers to accelerate biomedical discoveries.

Cloud computing for biomedical data research offers scalability, enabling researchers to handle large datasets efficiently without being constrained by local machine capacities. Moreover, it allows you to access your data studies from anywhere in the world with an internet connection. The UniApp is built upon the Google Cloud platform. This allows you to harness not only the scalability but also the reliability and security of Google Cloud to process large-scale datasets with unparalleled speed and efficiency.

Additionally, we have created functionality that allows you to run multiple analyses simultaneously, drastically reducing throughput time for multiple sequential analyses. Finally, critical in terms of complying with your local data storage and processing requirements, the UniApp configuration is flexible with regard to the physical hosting and storage location used by Google Cloud to meet such local needs.

Related modules

Data visualizations

Explore your data with interactive and easy customizable data output visualizations without any coding or scripting

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Project management tools

Build your research paper storyline with interactive figure panels readily to present while keeping track of data files, versions and tasks

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Data organization

Gain control over your valuable data files in a single secured environment, allowing you to easily share data and collaborate

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Cloud compute power

Leverage the power of cloud computing to drastically reduce analysis runtimes without specific hardware and tap into the potential of performing large data studies

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