Training materials
Target audience: Biologists, Genomicists, Computer Scientists or software engineers
and Authors: Brian Haas or Jonathan Karr or bioinformatics.ca or erasche
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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 -
Informatics for RNA-Seq Analysis 2018 Module 6-Functional Annotation and Analysis of Transcripts
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Informatics for RNA-Seq Analysis 2018 Module 5-Genome Guided and Genome-free Transcriptome Assembly
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Bioinformatics for Cancer Genomics 2018 Module 9-Gene Fusion and Rearrangements
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Informatics for RNA-Seq Analysis 2017 Module 7-Functional Annotation and Analysis of Transcripts
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Informatics for RNA-Seq Analysis 2017 Module 6-Genome-free De Novo Transcriptome Assembly