Data analysis

Analyze your data intuitively with over 25+ algorithms and data pipelines, without the need to code

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

Key highlights

No coding, 25+ out of the box algorithms

Multi-technology supported

Cloud compute

No coding, 25+ out of the box algorithms

Unlock the power of your data effortlessly with the UniApp. Our intuitive and out-of-the-box 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).

 

A glimpse of the ready to use algorithms: Differential analysis, clustering, heatmaps, …….

 

Multi-technology supported

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Cloud comute/processing

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Related modules

Data analysis

Analyze your data intuitively with over 25+ algorithms and data pipelines, without the need to code

UniApp demo screen

Data visualizations

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

UniApp demo screen

Project management tools

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

UniApp demo screen

Data organization

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

UniApp demo screen

Cloud compute power

Leverage the unlimited power of cloud computing and drastically reduced analysis runtimes, allowing you to perform large data studies and run multiple analyses simultaneously

UniApp demo screen

Tutorials & methods

hoose from ready-made templates to get your project started quickly or to perform certain analysis, supported by detailed step-by-step manuals to build your bioinformatics capabilities

UniApp demo screen

Multi-technology

Analyze most common Single-cell RNA-seq, Spatial, Transcriptomics, Metabolomics, Proteomics data formats and integrate the results into one research project

UniApp demo screen

Collaboration tools

Effortlessly work together on research projects, share data collections or present your study interactively, while maintaining control over your results

UniApp demo screen

External (data) partnerships

Save months of work by acquiring (data) services from Genecards or Elucidata to be directly integrated into your research project(s)

UniApp demo screen

Our clients

Testimonials

Great and fruitful collaboration with top specialists from diverse complementary disciplines.

Prof. Dr. Kristl Claeys, University Hospitals Leuven, Belgium

In your professional career, you need to be attentive to change and chance. When you see it coming, you should not hesitate, but act! Unicle is the change and provided us the chance to tremendously uplift and accelerate our project.

Prof. Dr. Andreas Pircher, Medical University Innsbruck, Austria

Meticulous, committed and responsive professionals. My experience with the quality of their work has been highly satisfactory. They pay attention to details from the beginning to the end of the analysis.

Prof. Dr. Anna Rita Cantelmo, Inserm Institute Pasteur of Lille, France

Want to know more?

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