Training materials
Contributors: Bazante Sanders or Dan Bolser or Dr. Paul Shaw or Dr. Stephen David Laycock or James Johnson or Martin Krzywinski or Michael Ball or Pavankumar Videm or Stéphanie Robin or Vicky Schneider
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hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat
• beginner10x Single Cell paper-replication -
hands-on tutorial
Generating a single cell matrix using Alevin and combining datasets (bash + R)
• beginner10x Single Cell jupyter-notebook paper-replication -
hands-on tutorial
Inferring single cell trajectories with Scanpy
• beginner10x Single Cell paper-replication -
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
Identification of AMR genes in an assembled bacterial genome
• beginnerWhole genome sequencing Public health and epidemiology Genomics Microbiology Sequence analysis Infectious disease Antimicrobial Resistance Genome Annotation amr gmod illumina jbrowse1 microgalaxy one-health -
hands-on tutorial
Pre-processing of 10X Single-Cell ATAC-seq Datasets
• beginner10x Single Cell epigenetics -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Teaching Python
• beginnerContributing to the Galaxy Training Material -
hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Multiprocessing
••• advancedSoftware engineering Foundations of Data Science jupyter-notebook