Training materials
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
e-learning
Functional genomics II: Common technologies and data analysis methods
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Access Bioinformatics Databases with Biopython
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Bacterial Bioinformatics
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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 -
Plant Bioinformatics
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Training materials
Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R
• beginnerUnix R-programming -
An Introduction to Unix
• beginnerUnix Babraham Institute -
e-learning
UNIX Fundamentals
• beginnerComputer science Problem based learning Programming Unix -
Bioinformatics Capstone: Big Data in Biology
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