Workshop Description (Intermediate Course)
This workshop aims to provide an entry-level introduction to the basic concepts and data analysis tools for single-cell RNA-seq techniques. It will help the attenders obtain a better idea of the important applications of scRNA-seq, the important considerations in designing a scRNA-seq experiment, the major differences between popular technical platforms, and the main steps in preliminary data analysis. It can serve as a starting point to conceive a scRNA-seq study or to analyze a scRNA-seq dataset.
Workshop Materials
Day 1
Session 1 (Emily Wu): Intro to scRNA-seq basics
- Concept of scRNA-seq and main applications
- Important issues in experimental design
- Comparison between popular technical platforms
- Raw data processing
Day 2
Session 2 (Yerbol Kurmangaliyev): Guided case study using Seurat;
- Overview of scRNA-Seq analysis and logistics of Seurat;
- Data preprocessing: loading, QC/filtering, normalization/scaling;
- Dimensionality reduction and clustering;
- Identification of marker genes;
- Visualizations.
Techinical Requirements
The first 10 attendees can use the classroom computer, others can attend if using their own laptop. The room is equipped with ethernet jacks and wireless internet.
Instructors
Videos
Reviews
I felt this workshop was very useful.
Workshop Details
Prerequisites: Basic experience with R would be helpful but not required
Length: 3 days, 3 hrs per day
Level: Intermediate
Location: Collaboratory Classroom (Boyer Hall, 529)
Seats Available: 28
Spring 2020 Dates
June 2, and 3, 2020
1:30 PM to 3:30 PM
REGISTRATION IS CLOSED!