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Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial

Offered By: LiquidBrain Bioinformatics via YouTube

Tags

Data Analysis Courses Data Visualization Courses Quality Control Courses Data Normalization Courses PCA Courses UMAP Courses

Course Description

Overview

Explore single-cell RNA sequencing analysis using the Seurat package in this 23-minute tutorial. Learn how to import and preprocess data, perform quality control, normalize datasets, and cluster cells using PCA and UMAP techniques. Discover methods for identifying marker genes and visualizing analysis results. Follow along with a script adapted from Satija Lab, covering essential steps from package import to data integration. Gain insights into overcoming dilution effects in RNA-seq experiments and understanding cellular interactions within closely grouped cells.

Syllabus

1. Package Import
2. Data Import
3. Data QC and Inspection
4. Data Normalization
5. Data Clustering PCA/UMAP
6. Markers Identification
7. Putting all together


Taught by

LiquidBrain Bioinformatics

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