Training materials
Target audience: Biologists, Genomicists, Computer Scientists or bioinformaticians
and Authors: Bernardo Clavijo or Eija Korpelainen or Friederike Ehrhart or Jared Simpson or Jonathan Karr or Julie Sullivan or Manuel Corpas or Maria Victoria . or Patricia Palagi or nekrut
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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 -
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 -
Informatics on High-Throughput Sequencing Data 2018 Module 6-De Novo Assmebly
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Informatics on High-Throughput Sequencing Data 2018 Module 1-Introduction to High-Throughput Sequencing
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Bioinformatics for Cancer Genomics 2018 Module 5-Genome Assembly
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Bioinformatics for Cancer Genomics 2018 Module 4-Genome Alignment
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Bioinformatics for Cancer Genomics 2017 Module 3-Genome Alignment and Assembly
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Informatics on High-Throughput Sequencing Data 2017 Module 6-De Novo Assembly
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