Pseudobulk and related approaches for scRNA-seq analysis

Date and Time

October 21, 2025
09:30AM - 12:00PM EDT

Location

LMA

** Workshop dates and times:**

IN-PERSON (Longwood Medical Area):

Tuesday, October 21, 2025: 9:30 AM - 12 PM

Friday, October 24, 2025: 9:30 AM - 12 PM

Tuesday, October 28, 2025: 9:30 AM - 12 PM

Friday, October 31, 2025: 9:30 AM - 12 PM

NOTE: Workshop dates are subject to change - please check back

Instruction will be mostly learner-centric, requiring a time commitment between the workshop sessions!


Description:

After clustering cells as part of a single-cell RNA-seq experiment, investigators are often interested in carrying out a differential expression analysis between conditions within certain cell types. When the experimental design includes replicates with multi-conditions there is power in identifying differentially expressed genes using a pseudbulk approach. In this hands-on workshop, we will:

  • Discuss various approaches for differential expression using single cell RNA-seq data
  • Prepare single-cell RNA-seq raw count data for pseudobulk analysis
  • Perform differential expression analysis on pseudobulk counts using DESeq2
  • Present approaches for evaluating differential proportions of cells between conditions

Prerequisites:

This is one of our advanced workshops, and requires registrants to have attended the following Basic workshop offered by our training team in the last 6-8 months:

There is an expectation of participants to have some/all of the following programming knowledge:

  • Solid understanding of data structures and fluent implementation of basic syntax in R.
  • Ability to use functions regularly and can modify arguments when necessary.
  • Comfortable installing packages and troubleshooting issues.
  • Data wrangling expertise (subsetting vectors and data frames) using base R or tidyverse
  • Familiarity with ggplot2 for data visualization.
  • Familiarity with RStudio interface

Participants in this workshop would benefit from having some familiarity with single-cell RNA-seq analysis and the use of the R Seurat package, but it is not a requirement.

I am fluent in R but have not attended the HBC prerequisite workshop, can I still register?

Yes, please register and provide your R/programming exerience on the form, and we’ll get back to you.

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