Training materials
Status: Active
and Scientific topics: Mass spectrometry or Open science or Machine learning
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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 -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
lessons, e-learning
Introduction to Data Management Practices - Data Management Plans
• beginnerData management FAIR data Open science CONVERGE Data Stewardship Wizard Data management plan -
lessons, e-learning
Introduction to Data Management Practices - Cleaning tabular data with OpenRefine
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Data publication
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
Karel Berka and Marian Novotný - Alphafoldology - Machine Learning revolution in structural biology
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Slideshow, Training materials
Prediction of protein structures and complexes with AlphaFold on the HPC
•• intermediateProtein structure analysis Machine learning Structure prediction Structure visualisation Multiple sequence alignment AlphaFold Database (13181)