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🔬 PBMC3k Single-Cell RNA-Seq Analysis Using Scanpy

This project presents a full downstream analysis pipeline of the PBMC3k single-cell RNA-seq dataset using the Scanpy library in Python. The dataset contains ~3,000 peripheral blood mononuclear cells from 10X Genomics.


📌 Objectives

  • Perform quality control and filtering
  • Normalize data and identify variable genes
  • Run PCA, UMAP for dimensionality reduction
  • Cluster cells and identify marker genes

🧰 Tools & Packages

  • Scanpy

📚 Dataset Info

  • Source: TENxPBMCData::pbmc3k (Bioconductor)
  • ~3,000 PBMCs processed using 10X Genomics Chromium

🧪 Author

Gunjan Sarode
🌐 LinkedIn | 📫 gunjansarode.bioinfo@gmail.com


✅ License

This project is for educational and research use.

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PBMC3k scRNA-seq analysis pipeline in Python - Scanpy : QC, clustering, marker genes

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