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 -
WEBINAR: Detection of and phasing of hybrid accessions in a target capture dataset
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WEBINAR: Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation
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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, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
Documentation, Exercise, Handout, Scripts
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)
•• intermediatePopulation Genomics Phylogenetics -
e-learning
The Turing Way
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e-learning
BLAST and multiple sequence alignment (MSA) programs
• beginnerSequence analysis Blast Multiple sequence alignment -
e-learning
Phylogenetics of animal pathogens: basic principles and applications
• beginnerPhylogenetics Veterinary medicine Animal pathogens -
Video
Introducing Bivi.co