- Course overview
- Search within this course
- Introduction
- Data resources and projects in plant science
- Concepts and methods in plant science
- Machine learning and mathematical modelling in plant science
- Data management
- Collection challenge
- Collection completed!
- Your feedback
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Introduction
Data-driven research in plant sciences involves the systematic examination of collected data to derive meaningful insights and relationships related to plants, their growth, development, behaviour, and interactions with the environment. It encompasses various techniques and methodologies that help researchers in understanding complex biological processes within the plant kingdom.
This collection features a curated compilation of recorded webinars, presented by experts in plant sciences from EMBL-EBI and around the globe, to facilitate your understanding of key concepts and methodologies for data analysis and interpretation within contemporary plant sciences research. Furthermore, the collection also includes online tutorials to highlight significance of effective data management practices.
You can work your way through all the sections listed below or skip to the ones of particular interest: