Training materials
Difficulty level: Beginner
and Target audience: Biomedical researchers or Professors or Trainers or geneticists or medical students
-
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Training materials
HPC Hackathon Materials
• beginnerComputer science HPC high-performance computing eLearning EeLP -
Training materials
Containers and Workflows training materials hackathon
• beginnerComputer science Containers Workflows eLearning EeLP -
Training materials
Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide
• beginnerBioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material -
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 -
Slides
Slides from Data Management Planning Workshop
• beginnerData management Deposition Data retrieval Data handling Data management plan data management
- 1
- 2