Training materials
Difficulty level: Intermediate
and Scientific topics: Bioinformatics or Computer science or Microbial ecology or Software engineering
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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 -
Tutorial
Tutorial on using existing PerMedCoE Building Blocks and workflows
•• intermediateBioinformatics Workflows Personalised medicine Building blocks -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
e-learning
Explore and Visualize Your Data with Python
•• intermediateData visualisation Bioinformatics Python Data analysis -
hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook