Training materials
Target audience: Academia/ Research Institution or Any students, postdocs or RAs who have an inter... or Anyone wishing to use bioinformatics resources ... or Biomedical researchers or General Physicians or Life scientists with programming skills or policy officer
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hands-on tutorial
AlphaFold and friends on the HPC
•• intermediateProtein structure analysis Machine learning Structure prediction AlphaFold Database (13181) -
e-learning
Interpret phylogenetic data to track SARS-CoV-2 evolution
• beginnerVirology Phylogenetics SARS-CoV-2 -
e-learning
Use V-pipe to evaluate SARS-CoV-2 sequence variability
• beginnerVirology Sequence analysis SARS-CoV-2 Variant calling -
e-learning
Find out about SARS-CoV-2 glycobiology using GlyConnect
• beginnerVirology Protein sites, features and motifs SARS-CoV-2 -
e-learning
Retrieve and list information on SARS-CoV-2 from ViralZone
• beginnerVirology Molecular biology SARS-CoV-2 -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
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) -
PDF, slideck/ presentation
Data Management Plans and Policies
• beginnerFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency on-line e-learning -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse