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Accelerate your Single-Cell Research

Nygen's single-cell omics data platform is how leading experimental researchers generate deep insights from their data.

Trusted by researchers across the world

Over 750+ scientists from leading pharma, biotech and academic institutions use Nygen for high-impact research and drug discovery pipelines.
"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."
Jonathan Baldan, PhD
Postdoctoral Researcher,
Vrije Universiteit, Belgium
"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."
Masaki Ishikawa, PhD
Researcher
University of Pennsylvania, USA
Solutions

Use Cases

Fundamental Research

Publish Single Cell Omics Datasets with Ease

Efficiently publish datasets via interactive browsers to enhance visibility, foster collaboration, and accelerate scientific discovery⁠
Drug Discovery

Cell Atlases: An Engine For Drug Discovery

Cell atlases speed up drug discovery by revealing cell diversity and function, accelerating target validation, improving trials, and inspiring new therapies