Tool:New scRNA-seq analysis software - Web-base - No coding needed

Question

[Matt]

Hi, I'm pleased to introduce sc-analyzer, a new web-based software designed for single-cell RNA sequencing (scRNA-seq) analysis.

sc-analyzer offers an intuitive interface similar to the Seurat pipeline, but without requiring any coding or scripting expertise. This makes it accessible to researchers and biologists without computational backgrounds.

Key Features :

• Input formats: Supports 10x Genomics data (h5 or matrix format)
• Filtering: Remove low-quality cells
• Quality control: Visualize QC metrics
• Highly variable genes: Generate HVG graphs
• Data integration: Combine multiple samples
• Principal Component Analysis (PCA): Explore dimensionality reduction
• Clustering: Identify cell populations
• Gene expression analysis: Visualize feature plots
• Differential expression analysis: Identify DEGs between two conditions
• Publication-ready outputs: Generate high-quality graphs and tables

Try it Out: sc-Analyzer is a paid software, but we are offering a 1-month free trial (email required) so you can explore its features and see how it fits your workflow.

We would greatly appreciate your feedback

Visit our website for more details: https://sc-analyzer.com/

Looking forward to hearing your thoughts!

Best regards, Matt

[jared.andrews07]

For anybody looking for basically the same thing, but free and run off your local computer (though still through the browser), see kana.

[yura.grabovska]

As with anything of this nature, there is an obvious point to be made about using open source software for making a paid product. I understand that storage and implementation for a coding-free approach incur overhead and require a practical solution.

[Matt]

Thank you for your comment. In order to offer high speed of computation and low ram usage we don't use any Biostatistic software for the computation, we use python and c++. Of course we use open source libraries but not Biostatistic ones