Single-Cell Trajectory Analysis Using Monocle3 and Seurat - Step-by-Step Tutorial
Learn how to perform trajectory analysis for single-cell RNA-Seq data using Monocle3 and Seurat in this comprehensive 49-minute tutorial. Explore the concepts of trajectory analysis and pseudotime, understand when to apply this technique, and discover how to choose the appropriate trajectory inference method. Follow a step-by-step workflow in R, covering data preparation, Seurat object creation, cell subset selection, and essential processing steps. Convert Seurat objects to cell_data_set class, visualize clustering, learn trajectory graphs, order cells in pseudotime, and identify genes with changing expression along trajectories. Gain practical skills in data manipulation, visualization techniques, and interpretation of results using tools like ggplot2 and Seurat's FeaturePlot.