I will develop a zero code single cell rnaseq analysis platform


About this gig
I build zero-code single-cell RNA-seq analysis software for biologists who don't want to learn programming.
Zero-code single-cell analysis software for biologists. No R, no Python just upload your data and click.
Steps: QC Normalization Clustering Cell annotation Differential expression Enrichment Cell trajectory Cell communication
Every step gives you publication-ready figures (PDF/SVG). Built on Seurat and Scanpy rigorous and reproducible under the hood, but you never touch the code.
Who it's for: grad students, postdocs, PIs anyone who does single-cell work and doesn't want to code.
Get to know CHEN
Bioinformatics Full Stack Developer, Custom Web Apps , Zero Code Tools
- FromChina
- Member sinceMay 2026
Languages
English, Chinese
My Portfolio
FAQ
Q: Do I need to know R or Python to use this?
A: No. The whole point is zero coding. You upload your data, click through each step, and download your results.
Q: What input format do you need?
A: A count matrix (genes × cells) — typically a 10x Genomics output folder, an h5 file, or a CSV/TSV matrix. If you're not sure about your format, message me and I'll check.
Q: What do I get at the end?
A: Publication-ready vector figures (PDF/SVG) for every analysis step, processed data files (CSV, RDS, h5ad), and an optional interactive HTML report.
Q: Do you also run the analysis as a service rather than selling the software?
A: Yes. If you just need results and don't want to click anything, I can run the full pipeline for you. Message me for a custom quote.
Q: Is the software web-based or installed locally?
A: Both options available. It can run as a Shiny web app in your browser, or as a local Docker container if your data is sensitive and cannot leave your server.

