Workshop Recordings
Exploring RNA-Seq: From Bulk to Single-Cell
Led by RNAseq experts, Alejandro Aguirre and Lies Van Horebeek, this popular workshop was held on November 25-26, 2024 and covered essential RNAseq analysis steps including:
- Overview of the foundational theory of RNA sequencing
- Experimental design considerations
- Key steps in data processing
- Quality Control
- Normalization
- Data Analysis
- Data visualization methods
Watch the recording for the first half, Bulk RNAseq here. The passcode is $Gss7xl4
Watch the recording for the second half, single cell RNAseq here. The passcode is mD4R4q&U
Introduction to R/Rstudio - Sidney Saint
Friday, November 1, 11-12PM. You can find the recordings for the workshop here. The passcode is ?93KsnX4.
June 2023 Workshop: Multi-Omics Integration
May 2023 Workshop: Writing Functions in R
April 2023 Workshop II: Most Commonly Used Statistical Tests in Healthcare Research using R - Part 2
April 2023 Workshop I: Intro to ggplot2
March 2023 Workshop: Graphic Design - Principles and Techniques for Science Communication
January 2023 Workshop: Most Commonly Used Statistical Tests in Healthcare Research - Part I
December 2022 Workshop: Introduction to R Markdown
June 2022 Workshop: Most Commonly Used Statistical Tests in Healthcare Research using R - Part 2
March 2022 Workshop: Writing your Thesis using R Markdown
February 2022 Workshop: Most Commonly Used Statistical Tests in Healthcare Research using R
January 2022 Workshop: "What is R?"
December 2021 Workshop: Introduction to Data Wrangling in R
September 2021 Workshop: Epigenetic Regulation of Microglial Innate Immune Memory
July 2021 Workshop: RNAseq Workshop Part II - From Differential Expression and Beyond
July 2021 Workshop: RNAseq Workshop Part I - From Raw to Processed Data
June 2021 Workshop: Introduction to R - Beginner Workshop
To access the source-code repository from the workshop, click here.
April 2021 Workshop: Intermediate Workshop - Statistical models in R
March 2021 Workshop: Practical Design Guidelines for Concept and Data Graphics on a Large Canvas
To access the slides from the talk, click here.
