A Biologist's Guide
to Single-Cell RNA-seq
Data Analysis

EBOOK
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.
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.
What you'll learn:
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Clear and comprehensive explanations of core single-cell RNA-seq data concepts, along with the tools and materials involved
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Step-by-step guidance on processing your data, from quality control (QC) to commonly used plots in downstream single-cell RNA-seq data analysis
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Insight into what underlying mechanisms are actually happening behind each step, not just the procedures
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Explore C-DIAM Multi-omics Studio:
A user-friendly tool for your single-cell RNA-seq data analysis
CDIAM Multi-Omics Studio is a web platform that supports scientists to analyze single-cell RNA-seq data instantly and easily with CDIAM's interactive and intuitive graphical UI, plus pre-built analytical pipelines and workflows. Get all the essentials for single-cell data exploration in one single platform, from pre-processing, QC-ing, integrating to visualizing the data and downstream analysis.
