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DTSTAMP:20260808T182453Z
UID:28dfedaa-87f0-4d43-b8f3-d363a06d1d06
DTSTART:20250513T070000Z
DTEND:20250516T150000Z
DESCRIPTION:Educators: \nDaniel Arend (IPK Gatersleben\, FAIRagro)\, Mary-A
 nn Blätke (IPK Gatersleben)\, Dominik Brilhaus (HHU Düsseldorf\, CEPLAS)
 \, Amanda Souza Câmara (IPK Gatersleben)\, Elena Rey-Mazon (IPK Gatersleb
 en\, FAIRagro)\, Marcus Schmidt (ZALF Müncheberg\, FAIRagro)\, Helena Sch
 nitzer (FZ Jülich\, de.NBI / ELIXIR-DE)\, Lea Sophie Singson (FIZ Karlsru
 he\, FAIRagro)\, Jędrzej Jakub Szymański (IPK Gatersleben\, FZ Jülich\,
  CEPLAS)\n\nDate: \nMay 13-16\, 2025\n\nLocation: \nIPK Gatersleben\n\nCon
 tents:\nThe Plant2030 Academy is an initiative dedicated to advancing rese
 arch and education in plant sciences\, focusing on the innovative use of b
 ioinformatics tools and methodologies. It aims to equip researchers\, part
 icularly those in the early stages of their careers\, with the knowledge a
 nd skills needed to harness computational approaches for plant research\, 
 thereby driving forward the goals of sustainable agriculture and food secu
 rity. One of the key educational offerings of the Plant2030 Academy is the
  Spring School - Introduction to Bioinformatics. This program is specifica
 lly designed to provide a comprehensive foundation in bioinformatics\, tai
 lored for individuals entering the field or seeking to enhance their compu
 tational skills within the context of plant sciences. This spring school p
 rovides an orientation into the dynamic and rapidly evolving fields of bio
 informatics in plant science\, focusing on the key challenges of modern da
 ta-driven research. Participants engage in a combination of lectures\, han
 ds-on workshops\, and collaborative projects\, guided by experts in the fi
 eld. This immersive learning environment not only fosters a deep understan
 ding of bioinformatics tools and concepts but also encourages networking a
 nd collaboration among participants from diverse research backgrounds. Ove
 rall\, the Plant2030 Academy and its Spring School play a pivotal role in 
 bridging the gap between traditional plant sciences and modern computation
 al approaches\, empowering researchers to tackle complex biological questi
 ons and contribute to the advancement of plant research for global benefit
 .\n\nLearning goals:\nAs a participant\, you will gain a solid understandi
 ng of essential topics in Research Data Management\, aligned with the FAIR
  principles – findability\, accessibility\, interoperability\, and reusa
 bility. The course will cover the importance and application of persistent
  identifiers\, data management plans\, and legal considerations in plant r
 esearch. Additionally\, you will explore the concept of FAIR digital objec
 ts and their practical uses. Specialized sessions will provide you with va
 luable skills in RNA-Seq data analysis\, protein modeling\, and the integr
 ation of machine learning and AI technologies into plant science research.
  By the end of the course\, you will be equipped with foundational knowled
 ge and tools needed to excel in contemporary plant research and data scien
 ce\, preparing you to navigate the challenges of the digital age in your s
 cientific career.\n\nPrerequisites:\nNone\n\nKeywords: \nFDM Basics\, FDM 
 Legal Aspects\, Protein Modeling\, RNA Seq\, Annotated Research Context (A
 RC)\, Machine learning\, LLMs\n\nTools:\n-
LOCATION:Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung\
 , 3 Corrensstraße
SUMMARY:Introduction to Bioinformatics - Spring school for early-stage plan
 t scientists
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1872-introduction-
 to-bioinformatics-spring-school-for-early-stage-plant-scientists
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