Training materials
Resource type: Jupyter notebook or Computer Software or slideck/ presentation or Computer Science
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
PDF, slideck/ presentation
Data Management Plans and Policies
• beginnerFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency on-line e-learning -
PDF, slideck/ presentation
Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica
• beginnerData management FAIR data ELIXIR-CONVERGE DMP DMP tools DMP templates DMP evaluation Data managment plan research data management FAIR principles tools template competency evaluation online e-learning Spanish -
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