Training materials
Target audience: science students or plant researchers or software engineers or Professor
-
Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
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 -
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 -
Training materials
Plant Phenotyping Data managment (MIAPPE)
• beginnerPhenomics Plant biology Data management Annotation Formatting Plant Phenotyping Data-format data sharing -
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 -
e-learning
Whole Genome Sequencing: Decoding the Language of Life and Health
••• advancedRare diseases Rare Diseases & Research -
Training materials
PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics
•• intermediateGenotype and phenotype Phylogenomics Evolutionary biology Comparative genomics Functional genomics Plant biology Comparison Visualisation Annotation plants Plants bioinformatics genomics Visualisation Annotation -
Documentation
InterMine operator manual
•• intermediateData integration Data analysis Data publishing FAIR -
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers