Nygen empowers single-cell data exploration-with confidence.
Intuitive Data Exploration
Self-optimizing analytics engine designed to simplyfy scRNA-seq and multi-omics data analyses. Drag-and-drop features utilizing scientifically validated workflows.
Advanced AI-Enabled Features
Go beyond cell annotation. Designed for deep cell characterization. Perform in-depth disease impact analyses, uncover literature based evidence and identify biomarkers with ease.
Collaborative Bioinformatics Analysis
Host, collaborate, and publish your single cell RNA-seq and multi-omics data. Enables bench scientists and bioinformaticians to collaborate directly within the analysis environment.
Intuitively designed for discovery, revealing biological insights.
Swiftly navigate scRNA-seq and multi-omics data with unmatched clarity and ease.
Publication-ready, peer‑reviewable figures, tables, and methods
Rapid and reproducible single‑cell analysis data
Industry leading data security and compliance (GDPR, ISO‑27001, and SOC 2)
Trusted by leading experimental researchers worldwide
"Nygen's user-friendly interface allows us to explore data rapidly, even without prior coding knowledge. Additionally, its online storage capacity facilitates seamless collaboration, enabling us to share results effortlessly."
"One of the standout features of Nygen is its ability to integrate other single-cell datasets from the literature into our own analysis. This capability has streamlined our workflow by eliminating the need for complicated procedures."
Mattias Magnusson, PhD
Associate Professor Lund University, Sweden
"Before using Nygen I thought that I needed some knowledge of programming in order to effectively analyse single cell data. However, with Nygen this isn’t necessary and I can easily explore my data in lots of detail and produce attractive figures."
Francis Hopkins
Post Doctoral Researcher Linköping University, Sweden
"Nygen is enabling me, as a non-bioinformatically trained scientist, to better understand and interact with my single-cell data."
Macarena Oporto Espuelas, PhD
Senior Clinical Research Fellow University College London, UK
"I enjoyed analyzing public single-cell RNA data using R or Python, but they were difficult for me. (...) With Nygen, I could analyze several data without any stress. It was so amazing and helpful."
Cell atlases speed drug discovery by revealing cell diversity and function, accelerating target validation, improving trials, and inspiring new therapies.
Always Free. Always Accessible.
Explore Nygen with our free tier. Free forever. Unlock it's full potential designed for discovery with transparent pricing.
