Training materials
Keywords: Bioinformatics or Python or algorithms or computer-science
and Target audience: Life Science Researchers or bioinformaticians
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Learn to Discover (L2D): Data Handling and Machine Learning using Python
••• advancedMachine learning Artificial Intelligence data science Python Programming Bioinformatics Biomedical data -
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 -
Introduction to Biopython
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Jupyter notebooks
Gentle hands-on introduction to Python programming
• beginnerSoftware engineering Python programming -
RNA-seq data analysis: from raw reads to differentially expressed genes
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Bioinformatics Introductory Module
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Using R with Python
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Bioinformatics for Mass spectrometry analysis
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Linear Motifs and Phosphorylation Sites
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Next Generation Sequencing (NGS) wikibook
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