DOMPS Plant Science Seminar
Seminar talk entitled MAdLand Resources & Tools presented by Deepti Varshney and Saskia Hiltemann
Deepti Varshney and Saskia Hiltemann presented a talk entitled "MAdLand Resources & Tools" at the Plant Science Seminar organised by the Department of Molecular Plant Sciences (DOMPS), Institute of Biology II/III, University of Freiburg on February 26, 2024. MAdLand is a DFG-funded research consortium exploring the molecular mechanism behind the transition from water to land, from alga to land plant. All work presented in that presentation is part of a collaboration between MAdLand, NFDI4Plants (DATAplant), Galaxy & de.NBI. In their presentation, they focused on several cutting-edge resources useful for research: MAdLandDB (GenomeZoo), Galaxy, TAPscan v4, and DataPLANT ARCs.
Galaxy is a widely used open-source platform that empowers scientists globally and enhances research accessibility, reproducibility, and transparency. Galaxy Training Network (GTN) employs a collaborative, open, and FAIR approach to scientific training materials. With over 300 tutorials authored and reviewed by a global community, the GTN serves researchers, educators, and scientific tool developers.
MAdLandDB offers a comprehensive protein database accessible via Galaxy, focusing on non-seed plants and streptophyte algae. It provides reliable genome sequences for comparative plant biology research.
TAPscan v4 is an advanced tool for genome-wide annotation of plant transcription-associated proteins (TAPs). TAPs (TFs and TRs) are key to understanding the development and evolution of plant form and function. Access to reliable, up-to-date classifications of TAPs enables comparative analyses that expand our knowledge of plant transcriptional regulation.
DataPLANT contributes to the creation of ARCs, store large amounts of annotated research data, as a means to make data and metadata available to and reusable by the community.
The talk was well-received and sparked a brief discussion about the utilization of MAdLandDB, Galaxy, and ARC.
Acknowledgements: The speakers would like to thank the organizers of DOMPS for providing the opportunity to present a talk at the Seminar. The speaker would also like to thank the MAdLand/Rensing lab, Galaxy, NFDI4PLANT and de.NBI.