e-learning
Combining single cell datasets after pre-processing
Abstract
This tutorial will take you from the multiple AnnData outputs of the previous tutorial to a single, combined AnnData object, ready for all the fun downstream processing. We will also look at how to add in metadata (for instance, SEX or GENOTYPE) for analysis later on.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- I have some AnnData files from different samples that I want to combine into a single file. How can I combine these and label them within the object?
Learning Objectives
- Combine data matrices from different samples in the same experiment
- Label the metadata for downstream processing
Licence: Creative Commons Attribution 4.0 International
Keywords: 10x, MIGHTS, Single Cell, paper-replication
Target audience: Students
Resource type: e-learning
Version: 19
Status: Active
Prerequisites:
- An introduction to scRNA-seq data analysis
- Generating a single cell matrix using Alevin
- Introduction to Galaxy Analyses
- Understanding Barcodes
Learning objectives:
- Combine data matrices from different samples in the same experiment
- Label the metadata for downstream processing
Date modified: 2024-10-28
Date published: 2022-09-08
Contributors: Helena Rasche, Julia Jakiela
Scientific topics: Transcriptomics
Activity log
