A Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation

This tutorial provides a complete guide for building a single-cell RNA-sequencing analysis pipeline using Scanpy. The workflow covers installation, data loading (PBMC 3k dataset), quality control, filtering, and normalization. Key steps include identifying highly variable genes, performing PCA for dimensionality reduction, and clustering visualization with cell annotation—essential techniques for analyzing cellular heterogeneity in genomic research.