Training materials
Difficulty level: Intermediate
and Authors: Alberto Pascual-García or Gildas Le Corguillé or Personalized Health Informatics Group or Ray Sajulga or Robin Engler
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UNIX Shell Scripting in Life Sciences
•• intermediateprogramming training mark ibberson group -
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 -
Data Analysis and Representation in Python
•• intermediateprogramming,data analysis,training,data visualisation,torsten schwede & thierry sengstag group,mark ibberson group programming,training,torsten schwede & thierry sengstag group,mark ibberson group -
e-learning
High Performance Computing in Life Sciences
•• intermediateComputational biology High performance computing Data storage -
hands-on tutorial
Proteogenomics 1: Database Creation
•• intermediateProteomics proteogenomics -
hands-on tutorial
Proteogenomics 2: Database Search
•• intermediateProteomics proteogenomics -
hands-on tutorial
Proteogenomics 3: Novel peptide analysis
•• intermediateProteomics proteogenomics -
hands-on tutorial
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics -
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
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