Training materials
Contributors: Andrea Argentini or Anup Kumar or Bazante Sanders or Clemens Blank or Dan Bolser or Dr. Simon Tomlinson or John "Scooter" Morris or Jure Dimec or Martin Krzywinski or Martin Čech or Mateusz Kuzak or Patricia Palagi or Portada: Enrique Sahagún or Prof. Tom Freeman
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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
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 -
hands-on tutorial
Python - Testing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Galaxy Webhooks
• beginnerSoftware engineering Development in Galaxy -
hands-on tutorial
Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data)
• beginnerSequence assembly Whole genome sequencing Public health and epidemiology Genomics Microbiology Antimicrobial Resistance Assembly amr assembly gmod jbrowse1 microgalaxy nanopore -
hands-on tutorial
Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data
• beginnerSequence assembly Whole genome sequencing Public health and epidemiology Genomics Microbiology Assembly assembly illumina microgalaxy -
hands-on tutorial
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• beginnerStatistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure -
hands-on tutorial
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning