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workshop_main_3day |
/EPI_2023 |
Epigenomic Data Analysis |
Workshop Pages for Students |
Epigenomic Analysis 2023 |
/site_images/CBW_Epigenome-data_icon.jpg |
3 days |
Welcome to Epigenomics Analysis 2023.
The course schedule can be found here
Meet your faculty here
Pre-work including programs to install, tutorials, and readings can be found here
Connecting and properly using a cloud computing cluster at the CBW here
Epigenomics Analysis Class of 2023
Nia Hughes
Martin Hirst
Module 1 Lecture Slides
Module 1 Lecture Recording
Module 1 Lab
Martin Hirst
Module 2 Lecture Slides
Module 2 Lecture Recording
Module 2 Lab
Edmund Su
Module 3 Lecture Slides
Module 3 Lecture Recording
Module 3 Lab
Guillaume Bourque
Module 4 Lecture Slides
Module 4 Lecture Recording
Module 4 Lab
David Bujold
Module 5 Lecture Slides
Module 5 Lecture Recording
Module 5 Lab
Note that some of these files are quite large. If you have issues downloading them, contact us at [email protected].
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_EPI_231005
- AMI ID: ami-0ae28d3f8e57ba8cf
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