Training materials
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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
Introduction to NGS Data Management
• beginnerRDM Research Data Management NGS Bioinformatics Data Management Plan -
e-learning
Introduction to single cell RNAseq analysis workshop
• beginnerbioinformatics RNAseq single cell NGS python R -
e-learning
Introduction to bulk RNAseq analysis workshop
• beginnerbioinformatics RNAseq bulk NGS -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
e-learning
Functional genomics III: Submitting your data and functional genomics databases
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e-learning
Functional genomics II: Common technologies and data analysis methods
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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 -
e-learning
The Turing Way
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e-learning
BLAST and multiple sequence alignment (MSA) programs
• beginnerSequence analysis Blast Multiple sequence alignment