Training materials
Difficulty level: Intermediate
and Scientific topics: Mass spectrometry or Transcriptomics or Molecular interactions, pathways and networks
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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 -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
hands-on tutorial
Hands-on for 'Visualization of RNA-Seq results with Volcano Plot in R' tutorial
•• intermediateTranscriptomics transcriptomics interactive-tools -
slides
Slides for 'An introduction to scRNA-seq data analysis' tutorial
•• intermediateTranscriptomics single-cell español -
Tutorial
Tutorial on CARNIVAL
•• intermediateMolecular interactions, pathways and networks Gene expression Omics RNA-Seq Network analysis RNA-Seq analysis HPC Signaling RNAseq, transcriptomics -
Tutorial
Tutorial on CellNOpt
•• intermediatePersonalised medicine Simulation experiment Molecular interactions, pathways and networks Transcription factors and regulatory sites Modelling and simulation HPC Biomodelling Signalling -
Cytoscape stringApp exercises
•• intermediateBioinformatics Molecular interactions, pathways and networks Protein interactions Proteomics Data visualisation