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and DotPlot
This course will equip you with the skills to perform trajectory analysis and pseudo-time, a powerful tool in single-cell data analysis. The course will start with an introduction to trajectory analysis and give an overview of different methods for performing the analysis. Students will then be taught the specific workflow steps to analyse single-cell data, ranging from fetching the data, creating a Seuret object, normalising the data and running PCA, UMAP and cluster algorithms. Another important step is to learn the trajectory graph and order cells in pseudo-time. The course will also teach plotting pseudotime for cell types and investigating genes that change expression along a trajectory. Finally, the course will cover visualising pseudotime by using Seurat's FeaturePlot and DotPlot.
