Training materials
Target audience: Beginners or Biologists, Genomicists, Computer Scientists or Graduate students or Non-Profit Organisation or computational scientists or data steward / data manager
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lessons
Introduction to g:Profiler
• beginnerBioinformatics g:Profiler Enrichment analysis Enrichment -
Training materials
ELITMa Module "Data Management Strategy" (Finland 28-29 June 2023)
• beginnerResearch Data Management RDM Strategy Training -
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 -
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 -
FREE online course
The Power of Genomics to Understand the COVID-19 Pandemic
• beginnercoronavirus covid-19 sars-cov-2 mutations Variant calling Sequencing pandemic surveillance genomics public health Genomic data -
PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
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