How to Build a Single-Cell RNA-seq Analysis Pipeline with Scanpy for PBMC Clustering, Annotation, and Trajectory Discovery

MarkTechPost / 5/9/2026

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Key Points

  • The tutorial walks through an end-to-end single-cell RNA-seq analysis workflow using Scanpy on the PBMC-3k benchmark dataset.
  • It covers dataset loading and exploration, followed by quality control focused on gene counts, total counts, mitochondrial content, and ribosomal gene signals.
  • The workflow includes filtering out low-quality cells/genes and detecting potential doublets to improve downstream reliability.
  • It is designed to support core downstream tasks such as clustering, cell annotation, and trajectory discovery for PBMC data.

In this tutorial, we perform an advanced single-cell RNA-seq analysis workflow using Scanpy on the PBMC-3k benchmark dataset. We start by loading the dataset, inspecting its structure, and applying quality control checks to evaluate gene counts, total counts, mitochondrial content, and ribosomal gene signals. We then filter low-quality cells and genes, detect potential doublets with […]

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