Training materials
Target audience: Graduate students or bioinformaticians
and Authors: Andrew McPherson or Eija Korpelainen or Jonathan Karr or Obi Griffith or Sarah Forrester
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course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
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, Training materials, Series of videos
Single-cell RNA-seq data analysis using Chipster 2022
• beginnerscRNA-seq -
course materials, Video
Single cell RNA-seq data analysis with Chipster
• beginnerRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
Bioinformatics for Cancer Genomics 2017 Module 7-Gene Fusion and Rearrangements
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High-Throughput Biology 2017 Module 9-Expression and Differential Expression