Training materials
Resource type: Coding or Exercise or Online material or Scripts or Training materials or e-Learning or slideck/ presentation
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Training materials
ELITMa Module "Data Management Strategy" (Finland 28-29 June 2023)
• beginnerResearch Data Management RDM Strategy Training -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Training materials, slides / presentation, slide deck / presentation, Presentation
Life Science RDM 2023 Course
• beginnerData management FAIR data Biology Genomics Imaging Proteomics Bioinformatics Biodiversity Data Management Plan Data management planning Data Steward Data Stewardship Wizard Data Life Cycle Research Data Management Research Infrastructure -
Online material, online course
Workshop on Resources for Plant Sciences, 2023
•• intermediatePlant biology service bundle eLearning EeLP plant science Data Visualization Gene Ontology Knowledge graph MIAPPE -
e-Learning
Proteomics Sandbox
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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 -
Training materials
Collaborative Lesson Development Training
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Training materials
The Carpentries training resources
• beginnerSoftware skills Data analysis