Training materials
Contributors: Anup Kumar or Célia Michotey or Dr. Simon Andrews or Hélène Chiapello or NBIS - National Bioinformatics Infrastructure S... or The Carpentries or rstudio::conf(2022)
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hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
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 -
hands-on tutorial
Python - Lists & Strings & Dictionaries
• beginnerdata-science jupyter-notebook -
hands-on tutorial
Introduction to deep learning
• beginnerStatistics and probability Statistics and machine learning -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
• beginnerPlant biology Phenomics Data quality management Data submission, annotation, and curation Standardisation and normalisation -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing