Topic: scRNA-seq Workshop
Time: Apr 27, 2020 09:30 AM Eastern Time (US and Canada) #workshop will start at 10:00
Join Zoom Meeting
Meeting ID: 974 1693 9217
ROUGH WORKSHOP ITINERARY
10:00 - 12:00
Introduction of scRNA-seq methodologies and anlaysis
Basic introduction to R and RStudio
Download data and dependencies
Troubleshoot installation issues
Data preprocessing & quality control
Walk my dog quickly
Intro to downstream analysis approaches
Optional happy hour hangout
Loose ends & questions
Note from David Cook, PhD Candidate (Vanderhyden Lab) I'm hoping to make a video recording of the workshop available afterwards. All code and data used will be hosted on a public Github repo.
R For Data Science - https://r4ds.had.co.nz. Free online book to get started with data wrangling and visualization using R. Written by Hadley Wickham, who developed some of the most popular R packages.
Seurat's "Guided Tutorial" - https://satijalab.org/seurat/v3.1/pbmc3k_tutorial.html. A well-documented introduction to scRNA-seq analysis using Seurat, which is probably the most common tool used currently. My tutorial will be based on this.
Ming Tang's collection of scRNA-seq notes - https://github.com/crazyhottommy/scRNAseq-analysis-notes. Ming has been putting together a massive collection of papers/blogs/resources related to scRNA-seq analysis. This is a reeeally good resource.
To join Ottawa CompBio Slack