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.
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21 Went

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.

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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.

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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
21 Went