layout | permalink | title | header1 | header2 | image | keywords | description | instructors | length |
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workshop_main_2day |
/scRNA_2023 |
Single Cell RNA-seq |
Workshop Pages for Students |
Single Cell RNA-seq 2023 |
/site_images/CBW_sc-rna-seq.jpg |
Single Cell RNA-seq |
Single Cell RNA-seq |
2 days |
The course schedule can be found here
Meet your faculty here
Pre-work including programs to install can be found here.
Connecting and properly using a cloud computing cluster at the CBW here
Single Cell RNA-seq Analysis Class of 2023
scRNA23 Workshop Social
Nia Hughes
Trevor Pugh
Tallulah Andrews
Module 2 Lecture Slides
Lab: Data Structures | Answers | HTML Answers
Lab: Quantification | Answers | HTML Answers
Tallulah Andrews
Module 3 Lecture Slides
Lab: QC & Normalization | Rmd Answers (first half) | HTML Answers
Tallulah Andrews
Module 4 Lecture Slides
Lab: Dimensionality Reduction and Visualization | Answers (second half) | HTML Answers
Tallulah Andrews
Module 5 Lecture Slides
Lab: Clustering | Answers | HTML Answers
Gary Bader
Module 6 Lecture Slides
Lab: Data Set Integration | Answers
If clicking this link does not start the download, please copy and paste the URL into a new tab or window. Please also note that some of these files are quite large. If you have issues downloading them, contact us at support@bioinformatics.ca. CourseData
We have made our AWS AMI (Amazon Machine Image) publicly available. To launch your own instance, follow the instructions provided by Amazon on how to launch an EC2 instance from a custom Amazon Machine Image. Please note that you will need an AWS account to proceed, and that you will need to upload the CourseData files yourself.
Here are the details of the AMI:
- AWS Region: us-east-1 (N. Virgina)
- AMI type: public image
- AMI name: CBW_scRNA_230719
- AMI ID: ami-08f9380781016295b
If you want to create and activate a new AWS account, please follow the instructions provided by Amazon.
For information on installing the necessary tools, please visit