Day 4
14
Lecture 7 - Trajectories and pseudotimes
Single-cell RNAseq analysis with R/Bioconductor
Welcome
Program
RStudio
Prerequisites
Day 1
1
Lecture 1 - Introduction to scRNAseq analysis
2
Lecture 2 - From sequencing reads to expression matrices
3
Lab 1: Familiarizing yourself with the course AWS instance
4
Lab 2: From .bcl to count matrix
Day 2
5
Lecture 3 - Quality control for scRNA-Seq data
6
Lab 3: Introduction to R/Bioconductor
7
Lab 4 - Single-cell RNA-seq data wrangling
Day 3
8
Lecture 4 - Identifying cell populations
9
Lab 5: Dimension reduction, clustering and annotation
10
Lecture 5 - Data integration and batch effect correction
11
Lab 6: Batch correction
Day 4
12
Lecture 6 - Advances in single-cell genomics: the epigenome
13
Lab 7: Single-cell ATAC-seq analysis workflow
14
Lecture 7 - Trajectories and pseudotimes
15
Lab 8: Pseudotime analyses
Extra resources
Day 4
14
Lecture 7 - Trajectories and pseudotimes
14
Lecture 7 - Trajectories and pseudotimes
Slides here
13
Lab 7: Single-cell ATAC-seq analysis workflow
15
Lab 8: Pseudotime analyses