Training materials
Resource type: hands-on tutorial
and Contributors: Alireza Khanteymoori or Allegra Via or Anil S. Thanki or Avans Hogeschool or Dr. Stephen David Laycock or Marius van den Beek or Wendi Bacon
-
hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Scanpy Parameter Iterator
• beginnerSingle Cell -
hands-on tutorial
Use Apptainer containers for running Galaxy jobs
• beginnerGalaxy Server administration ansible git-gat jobs -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Removing the effects of the cell cycle
• beginner10x Single Cell -
hands-on tutorial
Hands-on for 'Creating the bulk RNA-seq dataset for deconvolution' tutorial
-
hands-on tutorial
Hands-on for 'Creating the single-cell RNA-seq reference dataset for deconvolution' tutorial
-
hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Inferring single cell trajectories with Monocle3
• beginnerTranscriptomics 10x Single Cell paper-replication -
hands-on tutorial
Hands-on for 'Trajectory Analysis using Python (Jupyter Notebook) in Galaxy' tutorial