Single Cell

Learn all about Single Cell on Galaxy. Start with the tutorial at your own pace. If you need support contact us via the Slack Channel gta_single-cell.

Organiser(s) orcid logoPavankumar Videm avatar Pavankumar Videmorcid logoWendi Bacon avatar Wendi Bacon
Instructor(s) orcid logoAnna Syme avatar Anna Symeorcid logoAmirhossein Naghsh Nilchi avatar Amirhossein Naghsh Nilchiorcid logoDiana Chiang Jurado avatar Diana Chiang Juradoorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzIgor Makunin avatar Igor Makuninorcid logoMarisa Loach avatar Marisa Loachorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoWendi Bacon avatar Wendi Bacon

Need help with these tutorials?

Open Slack support channel for this track: comment   #gta_single-cell

Introduction

Introduction lecture to single-cell data analysis and data formats.

Lesson Slides Hands-on Recordings
An introduction to scRNA-seq data analysis
Single-cell Formats and Resources

Raw sequencing data to count matrix

Generate a cell-by-gene matrix from droplet-based single-cell RNA sequencing data.

Lesson Slides Hands-on Recordings
Pre-processing of 10X Single-Cell RNA Datasets
10x
Generating a single cell matrix using Alevin

Your first analysis based on Scanpy toolkit

This section includes standard single-cell data analysis, including preprocessing, clustering and the identification of cell types via known marker genes; and pseudobulk analysis to help in understanding cell-type-specific gene expression changes. The whole analysis uses Anndata objects, Scanpy toolkit and decoupler.

Lesson Slides Hands-on Recordings
Clustering 3K PBMCs with Scanpy
10x
Pseudobulk Analysis with Decoupler and EdgeR

Your first analysis based on Seurat tools

This section includes single-cell data analysis including preprocessing, clustering and the identification of cell types via known marker genes. The whole analysis uses Seurat objects and Seurat R package.

Lesson Slides Hands-on Recordings
Clustering 3K PBMCs with Seurat
10x