Training materials
Difficulty level: Intermediate
and Contributors: Emily Angiolini or Florian Christoph Sigloch or Maria Doyle or Marius van den Beek or Martin Krzywinski or Michael Ball or Sabine Österle or Sonika Tyagi or Vicky Schneider
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hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Visualization of RNA-Seq results with Volcano Plot in R
•• intermediateTranscriptomics interactive-tools -
hands-on tutorial
Secretome Prediction
•• intermediateProteomics human work-in-progress -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
Workflow Reports
•• intermediateUsing Galaxy and Managing your Data workflows -
hands-on tutorial
Creating, Editing and Importing Galaxy Workflows
•• intermediateUsing Galaxy and Managing your Data workflows -
hands-on tutorial
Using Workflow Parameters
•• intermediateUsing Galaxy and Managing your Data workflows -
Video, Training materials, E-learning
Validate Graph Data with SHACL
•• intermediateMedical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF Knowledge graph GraphDB RDF graph validation -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB