Training materials
Keywords: Reproducibility or jupyter-notebook
and Contributors: Erasmus+ Programme or Nene Barry or Pavankumar Videm or Thomas Denecker
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thomasdenecker/FAIR_Bioinfo
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hands-on tutorial
Hands-on for 'CLI Educational Game - Bashcrawl' tutorial
•• intermediatedata-science game bash jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced CLI in Galaxy' tutorial
•• intermediatedata-science bash jupyter-notebook -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'CLI basics' tutorial
• beginnerdata-science bash jupyter-notebook -
hands-on tutorial
Hands-on for 'SQL Educational Game - Murder Mystery' tutorial
•• intermediatedata-science game SQL jupyter-notebook -
hands-on tutorial
Hands-on for 'dplyr & tidyverse for data processing' tutorial
••• advanceddata-science R jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Hands-on for 'Introduction to Python' tutorial
• beginnerdata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan