Training materials
Target audience: Graduate students or bioinformaticians
and Authors: Eija Korpelainen or Frederic Schütz or Jonathan Karr or Mickeal Leclercq or Obi Griffith or Wyeth Wasserman
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IFB Shiny training
•• intermediateR-programming Reproducible Science -
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 -
Pathways and Network Analysis of -Omics data 2017 Module 6-Regulatory Network Analysis
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Microbiome Summer School-Big Data Analytics for Omics Science 2017 Module 8-ElasticSearch to Facilitate Data Mining of Human Microbiome Databases
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High-Throughput Biology 2017 Module 9-Expression and Differential Expression