Cover Image for Single Cell Basics: A 2-Day Hands-On scRNA-seq Workshop for Beginners [Registration for both days]
Cover Image for Single Cell Basics: A 2-Day Hands-On scRNA-seq Workshop for Beginners [Registration for both days]
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Presented by
Sprout Informatics
Biology-first bioinformatics. Fractional data science for teams pushing scientific boundaries.
Hosted By
19 Going

Single Cell Basics: A 2-Day Hands-On scRNA-seq Workshop for Beginners [Registration for both days]

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About Event

Have you read single-cell RNA-seq papers but never run the analysis yourself? This beginner-friendly workshop will give you a chance to explore a single cell dataset hands-on with your own dedicated virtual machine. We will go from a single cell counts object through cell type assignment and differential gene expression analysis.


Hosted by Boston Women in Bioinformatics (BWiB) and sponsored by Sprout Informatics, this 2-day live Zoom series is designed for students and early-stage researchers ready to get hands-on with single-cell analysis.


What you’ll do:

  • Understand how single-cell RNA-seq experiments work

  • Work with a 10X Genomics single cell dataset

  • Perform quality control (UMIs, gene counts, mitochondrial %)

  • Normalize and cluster cells

  • Identify marker genes

  • Determine the most abundant cell type — and explain why

What we’ll provide:

  • A dedicated cloud environment with all required packages pre-installed and data pre-downloaded

  • Instruction on how to connect via VS Code and run the analysis in a Jupyter notebook

  • Git repo with markdown files and step-by-step instructions

Day 1 — April 2
Understanding the experiment, connecting it to the gene-by-cell count matrix, setting up the analysis environment, and performing QC and filtering.

Day 2 — April 3
From clean data to biological insight: normalization, dimensionality reduction (PCA/UMAP), clustering, marker gene analysis, and assigning cell identities.
By the end of the workshop, you will have a solid grasp of how to manipulate a single cell object in R, and how to execute key single cell analyses.

**All participants in Day 1 will automatically be sent a meeting invite for Day 2**

Who is this for?

  • Beginners to scRNA-seq

  • Students looking for structured, hands-on training

  • Researchers who want to move from theory to practice

Summary

  • Format: Live on Zoom

  • Registration: $5 — all proceeds go directly to support BWIB!

  • Spots may be limited due to compute capacity

Avatar for Sprout Informatics
Presented by
Sprout Informatics
Biology-first bioinformatics. Fractional data science for teams pushing scientific boundaries.
Hosted By
19 Going