Training materials
Difficulty level: Intermediate
and Scientific topics: Bioinformatics or Gene expression and microarray or Local alignment or Medical informatics or Proteomics
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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 -
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 -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateproteomics microbiome -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Hands-on for 'Proteogenomics 1: Database Creation' tutorial
•• intermediateproteomics proteogenomics -
hands-on tutorial
Hands-on for 'Proteogenomics 2: Database Search' tutorial
•• intermediateproteomics proteogenomics -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics