Python and R for Single-Cell RNA Analysis: A Beginner's Guide to scRNA-seq and snRNA-seq (THE SINGLE-CELL CODEX)

Most single-cell tutorials teach workflows. This book teaches understanding.Designed for biologists, clinicians, and computational newcomers, this volume develops true single-cell competence by teaching R (Seurat) and Python (Scanpy) from first principles using real gene expression data to build intuition, not just technical fluency. Concepts come first, code comes second, and every step is tied back to biological interpretation and methodological tradeoffs.You’ll learn the core scRNA-seq workflow end-to-end: quality control, normalization, visualization, clustering, and differential expression plus dedicated chapters on common pitfalls, confounding, and how to evaluate claims in the literature. By the end, you will be able to reproduce standard analyses and, more importantly, defend your choices with clear reasoning.If you’re transitioning from the bench or leveling up your computational foundation, this book is built to make you independent. Welcome to the Codex. Read more