Menu
What You’ll Learn
✓Understand the principles and applications of single-cell RNA sequencing
✓Perform quality control and preprocessing of scRNA-Seq data
✓Construct gene–cell expression matrices
✓Perform normalization and feature selection
✓Perform PCA and dimensionality reduction
✓Generate UMAP/t-SNE visualizations
✓Identify cell clusters and marker genes
✓Annotate cell populations using marker genes
✓Perform differential gene expression analysis
✓Interpret biological pathways and cellular states
Tools & Technologies
10x GenomicsCell RangerSeuratScanpyRPythonCellChat
Course Curriculum
Introduction to Single-Cell RNA Sequencing · 60 mins — practical lessons, demonstrations and guided work included in this module.
scRNA-Seq Experimental Design & Data Structure · 60 mins — practical lessons, demonstrations and guided work included in this module.
Introduction to 10x Genomics & Cell Ranger · 60 mins — practical lessons, demonstrations and guided work included in this module.
Quality Control of scRNA-Seq Data · 60 mins — practical lessons, demonstrations and guided work included in this module.
Filtering, Normalization & Feature Selection · 60 mins — practical lessons, demonstrations and guided work included in this module.
Dimensionality Reduction: PCA · 60 mins — practical lessons, demonstrations and guided work included in this module.
Cell Clustering & Cluster Visualization · 60 mins — practical lessons, demonstrations and guided work included in this module.
UMAP & t-SNE Analysis · 60 mins — practical lessons, demonstrations and guided work included in this module.
Marker Gene Identification · 60 mins — practical lessons, demonstrations and guided work included in this module.
Cell-Type Annotation · 60 mins — practical lessons, demonstrations and guided work included in this module.
Differential Gene Expression Analysis · 60 mins — practical lessons, demonstrations and guided work included in this module.
Gene Ontology & Pathway Analysis · 60 mins — practical lessons, demonstrations and guided work included in this module.
Cell–Cell Communication Analysis with CellChat · 60 mins — practical lessons, demonstrations and guided work included in this module.
Advanced scRNA-Seq Visualization & Biological Interpretation · 60 mins — practical lessons, demonstrations and guided work included in this module.
Complete scRNA-Seq Mini Project & Report Generation · 60 mins — practical lessons, demonstrations and guided work included in this module.
Your Instructor
Bio Help Learning Educator
Bioinformatics Educator & MentorLearn from experienced educators and practitioners through practical, career-focused bioinformatics training.
Student Reviews
AV
“Excellent course! The content is practical and the projects made the concepts much easier to apply.”
Ananya VermaPhD Scholar, India★★★★★RM
“Hands-on projects made all the difference. Highly recommended for anyone interested in NGS.”
Rahul MehtaResearch Associate, Germany★★★★★SM
“Very detailed and industry-relevant content. I feel much more confident now.”
Sneha PatelBioinformatics Analyst, India★★★★★Frequently Asked Questions
Need help? →What is Single-Cell RNA-Seq?⌄
Single-cell RNA-Seq (scRNA-Seq) is a sequencing approach used to study gene expression at the level of individual cells.
Who is this course suitable for?⌄
This course is suitable for biotechnology, life science, bioinformatics, computational biology, and related students, researchers, and professionals.
Do I need prior scRNA-Seq experience?⌄
No. The course starts with the fundamentals and progressively moves toward practical analysis.
What will I learn in this training?⌄
You will learn the complete scRNA-Seq analysis workflow, including QC, normalization, clustering, dimensionality reduction, cell-type annotation, differential expression, pathway analysis, and biological interpretation.
Which datasets will be used?⌄
The training includes practical analysis using real-world single-cell RNA-Seq datasets.
Which tools will I learn?⌄
You will work with tools and frameworks including 10x Genomics, Cell Ranger, Seurat, Scanpy, R, Python, and CellChat.
Will I learn Seurat?⌄
Yes. Seurat will be used for major steps of single-cell data preprocessing, dimensionality reduction, clustering, marker identification, and downstream analysis.
Will I learn Python-based analysis?⌄
Yes. The course introduces Python-based single-cell analysis workflows alongside R-based analysis.
Will I learn cell-type annotation?⌄
Yes. You will learn how to identify and annotate cell populations using marker genes.
Will I learn cell–cell communication analysis?⌄
Yes. The course includes an introduction to cell–cell communication analysis using CellChat.
Is this a hands-on training?⌄
Yes. The training is designed around practical analysis and includes a complete scRNA-Seq mini project.
How long is the training?⌄
The training consists of 15 sessions of 60 minutes each, totaling 15 hours.
Will I receive a certificate?⌄
Yes. Participants who complete the training receive a Certificate of Completion.
Will I get a project at the end?⌄
Yes. Day 15 is dedicated to a complete scRNA-Seq mini project and report generation.
What will I be able to do after completing the course?⌄
You will be able to perform and interpret key steps of a single-cell RNA-Seq analysis workflow from quality control through biological interpretation.
