Training materials
Resource type: Jupyter notebook or Life Sciences Literature Database or Computer Software or slides / presentation
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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 -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
PDF, slides / presentation
Research Data Management Introduction for researchers
• beginnerFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency DMP evaluation evaluation on-line e-learning -
Life Sciences Literature Database
Discovering scientific evidence using Europe PMC SciLite annotation
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Life Sciences Literature Database
Finding the data behind research publications with Europe PMC
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Life Science Literature Database, Life Sciences Literature Database
Using Europe PMC for effective literature research
• beginnerLiterature search peer reviewed articles Europe PMC, Preprints Data links Annotations Europe PMC, ORCID -
examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
••• advancedSimulation experiment Computer science Mathematics Computational biology Modelling and simulation Visualisation data-driven modeling Computational modelling discrete-event simulation DES object-oriented programming Python data visualization Data Science -
Computer Software, workflow
How to use V-pipe (SARS-CoV-2 data)
• beginnerVirology Genetic variation Workflows Variant calling Alignment Read pre-processing coronavirus NGS bioinformatics Variant-calling -
Slides, Computer Software
ELIXIR Beacons (at ISMB / ECCB)
• beginnerbeacon -
Jupyter notebook, PDF
Introductory image processing on biological images using python.
• beginner