Training materials
Target audience: health professionals or Any student, postdoc or RA who has an interest in bioinformatics and who intends to conduct ChIP-Seq analysis on a Galaxy platform. or Intermediate or PhD Students or Training Designers or programmers or teachers
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handbook, case studies, implementation guidelines, additional reading, didactic activities
HANDBOOK | Integration of the sex and gender dimension in life sciences research
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Training materials, lessons
FAIR for busy biologists
• beginnerFAIR Open Science Reproducibility Metadata Repositories Tidy data -
Slides
Life Sciences Research Data Management 2024 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
online course, Online material
Tools and Practices for FAIR Research Software
• beginnerFAIR FAIR Research Software -
Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
PDF
Train-the-Trainer | Integration of the sex and gender dimension in life sciences research - slides
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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 -
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 -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP