Upcoming Data Analysis Support Group Sessions
Come and join our Data Analysis Support Group sessions! These are bi-weekly meetings 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. Please install RStudio before arriving (if applicable to the tutorial)!
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.
March 25, 2021 3-5pm: DeepLabCut Workshop (TOG x DMCBH x iCORD)
DLC is an efficient method for 3D markerless pose estimation and reduces the labor intensive manual labelling of data in experiments. DLC generates excellent results based on transfer learning with deep neural networks and requires minimal training data.
For this event, there will be four speakers presenting examples focusing on various use cases such as behaviour classification and synthetic data followed by a guided tutorial on the use of DLC with sample data. At the end you will leave with a good understanding of DLC and its potential! Visit http://www.mackenziemathislab.org/deeplabcut for more info!
Do I need to do anything before attending the workshop?
There are no requirements for this workshop! However, if you would like to participate in the guided tutorial please download the necessary software and packages outlined here prior to the workshop: http://www.mackenziemathislab.org/deeplabcut
Additional info can be found here: https://github.com/DeepLabCut/DeepLabCut/blob/master/README.md
April 16, 2021 2-3pm: Open Help Session
May 17, 2021 2-3pm: Open Help Session
June 17, 2021 2-3pm: Open Help Session
July 16, 2021 2-3pm: Open Help Session
August 17, 2021 2-3pm: Open Help Session
Past Guided Data Analysis Support Group Sessions
All of our past tutorial material is posted on our GitHub repository. Take a look through the below links to find code you can work along with if you missed a tutorial!
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).
November 26, 2020
The content of our EWAS series part 2, "Gene ontology enrichment with gprofiler2", is available on our GitHub.
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!