Upcoming Data Analysis Support Group Sessions

Online platform update, April 27th 2020: To supplement our Support Group sessions, we have created a #tog-community channel on Slack, a platform for group/one-on-one chatting and video calling. You will be able to post your questions to tutors on this channel at any time outside of the regular Support Group hours! To join our #tog-community Slack, please sign up here!

COVID-19 update, March 26th 2020: The Data Analysis Support Group will be moving to an online format for the duration of the COVID-19 pandemic. Log in from the comfort of your home and the TOG tutors will be there to answer all your questions and provide tutorials as usual! Information will be sent out via our mailing list and/or Research Education closer to scheduled session dates. To join our mailing list, use the form at the "Contact Us" page.

Come and join our Data Analysis Support Group sessions! These are bi-weekly meetings happening Thursdays at lunch where trainees and other researchers of all levels of experience can learn tools for data analysis and get coding help from experienced tutors. Sessions will alternate between open, informal help sessions where researchers can ask questions and troubleshoot their work, and guided work-alongs where volunteers will teach participants how to use specific useful tools and packages in R and other languages. These sessions are aimed to support BCCHR researchers using programming for data analysis by providing a relaxed, social setting to come together with peers to work through problems and learn new skills. Don’t forget your laptop, and please install RStudio before arriving (if applicable to the tutorial)!

Coffee and pastries will also be provided at each session to fuel your coding, or feel free to bring your lunch!

 

Fall/Winter 2020 Genome-Wide Analysis Series

Starting during our virtual kick-off week (Oct 27-29), we will be hosting a series of three monthly guided tutorials between October and December, where we will guide you through the steps of performing an epigenome-wide association analysis (testing for differential DNA methylation). The strategies taught in these tutorials can also be used to analyze other types of data, such as gene expression. Our first tutorial will focus on downloading publicly available data and steps to pre-process and normalize this data. In our second tutorial, you will learn how to test for site-specific differences between groups. In our third tutorial, we'll go over interpretation strategies, such as performing gene ontology enrichment to see which pathways are altered in your data.

Can't make one of the sessions? We'll be recording them and posting our material on GitHub after the tutorials, so you can check out the content on your own time!

 

November 26, 2020, 2:00pm: Gene Ontology Enrichment with gprofiler2

Please download the following prior to attending: 

RStudio: https://rstudio.com/products/rstudio/download/#download 

The gprofiler2 package (open RStudio and copy and paste the following commands into the console):
install.packages(“BiocManager”)
BiocManager::install("gprofiler2")

The two csv files and Rmd script we will be using in the tutorial, available on our GitHub

 

Past Guided Data Analysis Support Group Sessions

July 25, 2019

Victor Yuan gave a great ggplot2 tutorial to kick off our R Study Group series! In case you missed it or want to revisit his material, you can find the code for the tutorial here.

September 5, 2019

Giulia Del Gobbo gave a fantastic introduction to using Rmarkdown and the Rstudio Environment. All of Giulia's code for the tutorial are here.

October 3, 2019

Victor Yuan came back this week with another tidyverse tutorial. This time, he covered data manipulation in dplyr. You can find his code and a walk-through of his lesson here.

October 31, 2019

Amy Inkster developed a spooky Halloween tutorial for those who are complete beginners in R! Click here to see her presentation "R: It's Not So Scary!"

November 28, 2019

Will Casazza lead a tutorial on using version control with Git and Github. A great walk-through of his material (based on the UBC STAT 540 course) can be found here.

April 16, 2020

Dr. Mike Irvine's GitHub example material from the tutorial "Writing Tests and Validating Data in R" can be found here, and a video recording of the session can be found here (accessible to BCCHR members only).

May 28, 2020

The code from Christina Michalski's tutorial on PCA plots and heat maps in R can be found on our GitHub page.

July 9, 2020

Click here to find Victor's intro to ggplot2 tutorial materials!

July 23, 2020

The material for Almas's tutorial on data manipulation using dplyr can be found here.

October 29, 2020

Click here for the content of our EWAS series part 1, "Working with data from GEO and differential DNA methylation analysis in limma" (Will Cassazza and Sam Schaffner).

What topics would you like to see covered?

Do you have any suggestions for future guided study group topics? Is there a specific R package or data analysis strategy you would like a tutorial on? Click the button below to go to our Contact page and send us a message with your ideas!

Contact Us