Training materials
Target audience: rare disease patients representatives or Any student, postdoc or RA who has an interest ... or Any students, postdocs or RAs who have an inter... or Biologists or Novice or computational scientists or programmers
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Online material, online course
Workshop on Resources for Plant Sciences, 2023
•• intermediatePlant biology service bundle eLearning EeLP plant science Data Visualization Gene Ontology Knowledge graph MIAPPE -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
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 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
FAIR data - Module 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
• beginnerPlant biology Phenomics Data quality management Data submission, annotation, and curation Standardisation and normalisation