e-learning

Inferring single cell trajectories with Monocle3 (R)

Abstract

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How do I perform a trajectory analysis using Monocle3 in R?
  • What should I do when Galaxy's Monocle tools are not enough?
  • How do I assign cell types to the clusters?
  • How do I infer lineage relationships between clusters, without a time series?
  • How do I perform batch correction and differential expression analysis in Monocle?

Learning Objectives

  • Identify which operations are necessary to transform an AnnData object into the files needed for Monocle
  • Describe the Monocle3 functions in R
  • Recognise steps that can be performed in R, but not with current Galaxy tools
  • Repeat the Monocle3 workflow and choose appropriate parameter values
  • Compare the outputs from Scanpy, Monocle in Galaxy and Monocle in R
  • Describe differential expression analysis methods

Licence: Creative Commons Attribution 4.0 International

Keywords: 10x, MIGHTS, R, Single Cell, jupyter-notebook, paper-replication, rmarkdown-notebook

Target audience: Students

Resource type: e-learning

Version: 11

Status: Active

Prerequisites:

  • Combining single cell datasets after pre-processing
  • Filter, plot and explore single-cell RNA-seq data with Scanpy
  • Generating a single cell matrix using Alevin
  • Introduction to Galaxy Analyses

Learning objectives:

  • Identify which operations are necessary to transform an AnnData object into the files needed for Monocle
  • Describe the Monocle3 functions in R
  • Recognise steps that can be performed in R, but not with current Galaxy tools
  • Repeat the Monocle3 workflow and choose appropriate parameter values
  • Compare the outputs from Scanpy, Monocle in Galaxy and Monocle in R
  • Describe differential expression analysis methods

Date modified: 2024-10-28

Date published: 2023-04-12

Authors: Julia Jakiela

Contributors: Helena Rasche, Julia Jakiela, Mehmet Tekman, Pavankumar Videm, Saskia Hiltemann, Wendi Bacon


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