Training materials
Target audience: Anyone wishing to use bioinformatics resources ... or Life sciences or PhD Students or Professors or Staff or postgrad
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Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
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 -
course materials, online course, Training materials
Cloud-SPAN Prenomics
• beginnerBioinformatics Software engineering Genomics Query and retrieval Data handling Cloud computing Shell Command line Amazon Web Services genomics HPC Data analysis bioinformatics -
Video, Presentation
Introduction to the EGA and its Ecosystem of Tools
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Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan