Explore the process of integrating and comparing scRNA-Seq datasets from different conditions and sequencing pipelines in this 26-minute video tutorial. Learn how to combine datasets with varying results and sensitivity using Seurat integration analysis. Follow along with the provided script to import libraries, integrate multiple files, perform differential expression analysis, identify conservation markers, and create various visualizations such as feature plots, dot plots, and violin plots. Gain insights into data manipulation techniques and understand how to effectively compare gene expression between integrated datasets. Access the accompanying GitHub repository for the complete script and refer to the original Seurat documentation for further details.
Overview
Syllabus
Introduction
Downloading the code
Importing the library
Importing two files
Adding more than two files
Integration
Differential Expression
Conservation Markers
Feature Plot
Data Manipulation
Dot Plot
Expression Graph
Violin Plot
Recap
Taught by
LiquidBrain Bioinformatics
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