Training materials
Target audience: bioinformaticians
and Resource type: API reference or Slides or Tutorial or slides
-
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
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 -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
••• advancedSimulation experiment Computer science Mathematics Computational biology Modelling and simulation Visualisation data-driven modeling Computational modelling discrete-event simulation DES object-oriented programming Python data visualization Data Science -
Tutorial
Datanator tutorial
• beginnerMolecular biology Cell biology Systems biology Bioinformatics Omics Query and retrieval Filtering genomics Proteomics transcriptomics Metabolomics reaction kinetics Kinetic modeling meta analysis -
Slides
Helis Academy - FAIRify your data
-
Tutorial
OpenRiskNet: Ontology Walkthrough and Workshop
• beginnerToxicology Ontology and terminology -
Slides, Training materials, Series of videos
Single-cell RNA-seq data analysis using Chipster 2022
• beginnerscRNA-seq
- 1
- 2