Training materials
Target audience: Biologists, Genomicists, Computer Scientists or Curators or Life sciences or Professor or computational scientists
-
Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
Webinar, Training materials
An introduction to MobiDB
• beginnerintrinsically disordered proteins Databases intrinsic disorder prediction protein sequence -
Webinar, Training materials
Exploring structural and functional annotations of IDPs with DisProt
•• intermediateCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Webinar, Training materials
An introduction to DisProt
• beginnerCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
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 -
Video, Slides
Plant Phenotyping Data managment Webinar (MIAPPE)
• beginnerPlant biology Phenomics Data quality management Data submission, annotation, and curation Standardisation and normalisation -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
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 -
Computer Software, workflow
How to use V-pipe (SARS-CoV-2 data)
• beginnerVirology Genetic variation Workflows Variant calling Alignment Read pre-processing coronavirus NGS bioinformatics Variant-calling