I will develop a zero code single cell rnaseq analysis platform

C
camille888666
C
camille888666
CHEN

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

CHEN

Bioinformatics Full Stack Developer, Custom Web Apps , Zero Code Tools

  • FromChina
  • Member sinceMay 2026
  • Languages

    English, Chinese
Bioinformatics full-stack dev building zero-code web tools for biomedical researchers. Single-Cell Platform — Upload 10x data, run QC → clustering → annotation → DEG entirely in browser. Survival Dashboard — Input data, pick a gene, get KM curves and Cox regression instantly. Bibliometric Tool — PubMed/WoS import, co-occurrence networks, trend charts, one click. Pipeline Templates — TCGA/GEO, DEG, immune scoring, ssGSEA, plug-and-play. Stack: Python (Streamlit, Flask, scanpy), R (Shiny, DESeq2, Seurat, survminer)

My Portfolio