Single-cell RNA sequencing (scRNA-seq) is now widely used across many therapeutic areas with extensive applications: target discovery and biomarker identification,  rare cell population detection, you name it. However, the workflow involves multiple steps, tools, and parameters, which can feel overwhelming at first — especially for biologists without computational experience.

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This e-book provides a practical, step-by-step guide to help you understand what happens at each stage of single-cell RNA-seq data analysis and how these steps lead to meaningful biological insights. It is designed for biologists and beginners, with explanations that do not require prior coding knowledge.

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What you'll learn: 

• Clear and comprehensive explanations of core single-cell RNA-seq data concepts, along with the tools and materials involved

• Step-by-step guidance on processing your data, from quality control (QC) to commonly used plots in downstream single-cell RNA-seq data analysis

• Insight into what underlying mechanisms are actually happening behind each step, not just the procedures​