This lesson is still being designed and assembled (Pre-Alpha version)

This lesson is part of The Carpentries Incubator, a place to share and use each other's Carpentries-style lessons. This lesson has not been reviewed by and is not endorsed by The Carpentries.

Single-cell RNA-Seq Analysis

This 2-days lesson will discuss the computational analysis of the data obtained from scRNA-seq experiments.

Prerequisites

The course is intended for those who have basic familiarity with Unix and the R scripting language. Please follow the instructions in Setup page.

Schedule

	Setup	Download files required for the lesson
00:00	1. Introduction to scRNA-seq	What is the advantages of scRNA-seq? What is the difference between bulk RNA-seq and scRNA-seq?
00:15	2. scRNA-seq Workflow	What is the standard workflow of scRNA-seq?
00:35	3. Pre-processing of scRNA-seq using Cellranger	How do pre-process scRNA-seq data using cellranger?
00:55	4. Quality Control & Normalization	What is the aim of normalization?
01:15	5. Trimming and Filtering	How can I get rid of sequence data that doesn’t meet my quality standards?
02:10	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.