Training materials
Status: Active
and Target audience: Any student, postdoc or RA who has an interest ... or Biologists or Clinicians or Life Science Researchers or Life scientists with programming skills or Principal Investigators (PIs) or beginner bioinformaticians
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Presentation, Recorded webinar
EOSC4Cancer cBioPortal workshop
• beginnerGenomics Oncology Data Analysis -
Training materials, slides / presentation, slide deck / presentation, Presentation
Life Science RDM 2023 Course
• beginnerData management FAIR data Biology Genomics Imaging Proteomics Bioinformatics Biodiversity Data Management Plan Data management planning Data Steward Data Stewardship Wizard Data Life Cycle Research Data Management Research Infrastructure -
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 -
Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
Learn to Discover (L2D): Data Handling and Machine Learning using Python
••• advancedMachine learning Artificial Intelligence data science Python Programming Bioinformatics Biomedical data -
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 -
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
Course materials, Training materials
"Ready for BioData Management?" Training Data Stewards for Life Sciences
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Online material, Recording, hands-on tutorial
MaBoSS: a tool for modelling biological systems
• beginnerMathematical modelling cancer Signalling boolean modelling logical modelling -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning
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