Training materials
Difficulty level: Intermediate
and Keywords: R-programming or Data analysis or HPC
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Tutorial, Presentation
Materials from 'Introduction to High Performance Computing for Life Scientists' course
•• intermediateComputational biology HPC GPU parallel computing -
e-learning
Explore and Visualize Your Data with Python
•• intermediateData visualisation Bioinformatics Python Data analysis -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
Tutorial
Tutorial on developing Building Blocks
•• intermediateBioinformatics Workflows Personalised medicine HPC building blocks -
Tutorial
Tutorial on working with computing clusters
•• intermediateHPC -
Tutorial
Tutorial on CARNIVAL
•• intermediateMolecular interactions, pathways and networks Gene expression Omics RNA-Seq Network analysis RNA-Seq analysis HPC Signaling RNAseq, transcriptomics -
Tutorial
Tutorials on COBREXA
•• intermediatePersonalised medicine Simulation experiment Modelling and simulation cell-level simulations Biomodelling HPC -
Tutorial
Tutorial on CellNOpt
•• intermediatePersonalised medicine Simulation experiment Molecular interactions, pathways and networks Transcription factors and regulatory sites Modelling and simulation HPC Biomodelling Signalling -
Video
Data Gravity in the Life Sciences: Lessons learned from the HCA and other federated data projects
•• intermediateData architecture, analysis and design Cloud computing Data analysis Standards Translational research -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing
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