Collection

Data-driven plant sciences

A curated collection of EMBL-EBI on-demand training

Time to complete:

> 3 hours

This course includes:

  • Activities
  • Quizzes
  • Videos

Written by:

Last reviewed:

January 2025


Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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Data-driven research in plant sciences employs diverse techniques and methodologies to study plant growth, development, behaviour, and their interactions with the environment. This collection offers videos, presented by experts from around the world, and online tutorials, developed by EMBL-EBI trainers, to describe essential concepts and data analysis techniques for modern plant science research, as well as useful tips for effective data management practices.

Feedback and help

Who is this course for?

This collection is suitable for anyone interested in learning about the current concepts and analytical methods in plant sciences applicable to research, data management, and crop improvement. No prior knowledge of bioinformatics is required, but undergraduate level knowledge of biology would be useful.

What will I achieve?

By the end of the course you will be able to:

  • Identify data analysis methods, approaches, and resources useful in plant sciences
  • Draw inspiration from the methodologies used in big-data projects in plant research
  • Recognise how machine learning and mathematical models are used in investigating the mechanisms underlying biological systems
  • Explain what publicly available data is and how to use it
  • Appreciate the data management skills required for enhancing efficacy of your research

What resources do I need?

There are no specific resources required to complete this collection.

DOI: 10.6019/TOL.DataDrivenPlantSciences-t.2023.00001.1