Educators:
Daniel Arend (IPK Gatersleben, FAIRagro), Mary-Ann Blätke (IPK Gatersleben), Dominik Brilhaus (HHU Düsseldorf, CEPLAS), Amanda Souza Câmara (IPK Gatersleben), Elena Rey-Mazon (IPK Gatersleben, FAIRagro), Marcus Schmidt (ZALF Müncheberg, FAIRagro), Helena Schnitzer (FZ Jülich, de.NBI / ELIXIR-DE), Lea Sophie Singson (FIZ Karlsruhe, FAIRagro), Jędrzej Jakub Szymański (IPK Gatersleben, FZ Jülich, CEPLAS)
Date:
May 13-16, 2025
Location:
IPK Gatersleben
Contents:
The Plant2030 Academy is an initiative dedicated to advancing research and education in plant sciences, focusing on the innovative use of bioinformatics tools and methodologies. It aims to equip researchers, particularly those in the early stages of their careers, with the knowledge and skills needed to harness computational approaches for plant research, thereby driving forward the goals of sustainable agriculture and food security. One of the key educational offerings of the Plant2030 Academy is the Spring School - Introduction to Bioinformatics. This program is specifically designed to provide a comprehensive foundation in bioinformatics, tailored for individuals entering the field or seeking to enhance their computational skills within the context of plant sciences. This spring school provides an orientation into the dynamic and rapidly evolving fields of bioinformatics in plant science, focusing on the key challenges of modern data-driven research. Participants engage in a combination of lectures, hands-on workshops, and collaborative projects, guided by experts in the field. This immersive learning environment not only fosters a deep understanding of bioinformatics tools and concepts but also encourages networking and collaboration among participants from diverse research backgrounds. Overall, the Plant2030 Academy and its Spring School play a pivotal role in bridging the gap between traditional plant sciences and modern computational approaches, empowering researchers to tackle complex biological questions and contribute to the advancement of plant research for global benefit.
Learning goals:
As a participant, you will gain a solid understanding of essential topics in Research Data Management, aligned with the FAIR principles – findability, accessibility, interoperability, and reusability. The course will cover the importance and application of persistent identifiers, data management plans, and legal considerations in plant research. Additionally, you will explore the concept of FAIR digital objects and their practical uses. Specialized sessions will provide you with valuable skills in RNA-Seq data analysis, protein modeling, and the integration of machine learning and AI technologies into plant science research. By the end of the course, you will be equipped with foundational knowledge and tools needed to excel in contemporary plant research and data science, preparing you to navigate the challenges of the digital age in your scientific career.
Prerequisites:
None
Keywords:
FDM Basics, FDM Legal Aspects, Protein Modeling, RNA Seq, Annotated Research Context (ARC), Machine learning, LLMs
Tools:
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Contact:
Read more: https://www.plant2030-academy.de/activities/2025-05-13-introduction-bioinformatics