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Monocle 3 Clustering and Trajectory Analysis

Single-cell RNA-seq trajectory analysis using Monocle 3 with C. elegans embryo and L2 larval data from the Trapnell lab. This project follows the Monocle 3 tutorials, with supplementary code for steps not fully covered in the documentation.

Scripts

  • monocle_3_installation.R - Package installation
  • monocle_3_clustering.R - Cell clustering workflow
  • monocle_3_single_cell_trajectories.R - Trajectory inference and pseudotime analysis

Analysis Overview

  • Preprocessing and batch correction
  • UMAP dimensionality reduction
  • Trajectory learning and pseudotime ordering
  • Differential expression with fit_models() and graph_test()
  • Example of cross-dataset label transfer

Data Sources

  • Packer et al. C. elegans embryo data
  • Cao et al. C. elegans L2 larval data

Requirements

  • R 4.x
  • Monocle 3
  • Seurat
  • SeuratWrappers

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Single-cell RNA-seq trajectory analysis using Monocle 3 with C. elegans embryo and L2 larval data from the Trapnell lab.

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