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single-cell RNA-seq data analysis with Nygen
single-cell RNA-seq data analysis with Nygen
Swiftly navigate single-cell transcriptomics and multi-omics data with unmatched clarity and ease.

Intuitive Single Cell RNA-seq Analysis

Perform in-depth single cell transcriptomics and multi omics data analyses through simple drag-and-drop features, utilizing scientifically validated workflows.

Advanced AI-Enabled Features

Auto-annotate cell clusters with high accuracy, perform in-depth disease impact analyses, and streamline annotations. Uncover critical breakthroughs with precision and efficiency.

Collaborative Bioinformatics Analysis

Host, collaborate, and publish your single cell RNA seq and multi-omics data analyses. Generate publication-ready visualizations—all with a single click.

Always Free, Always Accessible.

Our generous free tier is designed to empower experimental researchers—free forever. Upgrade only when you need advanced features, with transparent pricing.
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Read Our Use Case
Leveraging Single-Cell Omics to Uncover Cellular Heterogeneity in Hematologic Malignancies
Fundamental Research

Single-cell Technology Use Case in Hematology

Discover how single-cell omics technologies unveil cellular heterogeneity in hematologic malignancies; advancing personalized treatments and enhancing research strategies.

What our users have to say...

"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

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