Training materials
Target audience: Life Science Researchers or bioinformaticians
and Authors: Anika Erxleben or Eija Korpelainen or Jonathan Karr or Klaas Vandepoele or allegra.via Via
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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 -
Documentation
BioSimulations tutorial and help
•• intermediateComputational biology Systems biology Simulation experiment Visualisation Modelling and simulation SystemsBiology ComputationalBiology Computational modelling Modeling Biomodelling Model Kinetic modeling SED-ML COMBINE -
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 -
Training materials
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics
•• intermediateGenotype and phenotype Phylogenomics Evolutionary biology Comparative genomics Functional genomics Plant biology Comparison Visualisation Annotation plants Plants bioinformatics genomics Visualisation Annotation -
course materials, Video
Single cell RNA-seq data analysis with Chipster
• beginnerRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
Introduction to Biopython
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Using R with Python
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Linear Motifs and Phosphorylation Sites
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Parsing data records using Python programming