Скачать или смотреть scRNA-seq analysis using Seurat, part 2 [CDN workshop]

💭 How do I process count matrices from a scRNA-seq experiment?



🖥️ This is a two-part workshop series covering Seurat workflow on importing count matrices, filtering cells and features and normalizing data (part 1), followed by dimensional reduction (PCA, UMAP), cell clustering and marker identification (part 2).


These are the sections covered in this part of the workshop:


3:24 Linear dimensional reduction (PCA)
15:52 Cell cycle regression (narrative)
20:13 Non-linear dimensional reduction (UMAP)
25:57 Creating and modifying plots
41:51 Clustering cells
50:05 Identifying cluster markers


▶ Part 1 of the lesson can be found here:    • scRNA-seq analysis using Seurat, part 1 [C...  



📔 Lesson materials for this workshop can be found here: https://fursham-h.github.io/R-datasci.... The contents of this workshop is intended to run with R or RStudio on any computer (Windows, MacOX, Linux). Do refer to this setup instruction before beginning: https://fursham-h.github.io/R-datasci...

👨‍🔬 Who are we?
We make up the Bioinformatics Core team from the Centre for Developmental Neurobiology (King's College London). Our aim is to provide high-quality analysis of next-generation sequencing data (RNAseq, scRNA-seq, whole genome sequencing) and to train fellow scientists in analyzing data using simple programming tools (R, Python, Bash).