Training materials
Target audience: health professionals or Beginners or Biologists, Genomicists, Computer Scientists or Biomedical researchers or Intermediate or Life scientists or beginner bioinformaticians
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lessons
Introduction to g:Profiler
• beginnerBioinformatics g:Profiler Enrichment analysis Enrichment -
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
hands-on tutorial
Explore Protein Structures with ChimeraX
• beginnerProtein structure analysis Sequence analysis Structure visualisation ChimeraX Protein Structure analysis -
hands-on tutorial
Introduction to Research Data Management
• beginnerData quality management Data submission, annotation, and curation Research Data Management Research Publishing -
hands-on tutorial
Introduction to Git and Github
• beginnerSoftware engineering Git Github Version control -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
FAIR data - Module 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage