Author

T. Lübberstedt

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 3

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

B. Studer· 2 shared C. Manzanares· 2 shared D. Copetti· 2 shared S. Yates· 2 shared B. Ganapathysubramanian· 1 shared C. Cropano· 1 shared D. Dong· 1 shared D. Thorogood· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersPlant Biology

B. Studer

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3 papers

Recent·Most cited

Self-Supervised Maize Kernel Classification and Segmentation for Embryo Identification

D. Dong, K. Nagasubramanian, R. Wang, U. K. Frei, T. Z. Jubery, T. Lübberstedt, B. Ganapathysubramanian

This paper applies self-supervised learning to maize kernel classification and segmentation, showing improved performance and annotation efficiency compared to supervised methods.

Frontiers in Plant Science · Apr 14, 2023Peer-reviewedPlant Biology

Fine-mapping and comparative genomic analysis reveal the gene composition at the S and Z self-incompatibility loci in grasses

M. Rohner, C. Manzanares, S. Yates, D. Thorogood, D. Copetti, T. Lübberstedt, T. Asp, B. Studer

This study fine-maps the Z-locus in perennial ryegrass and identifies two genes encoding DUF247 domain proteins and sZ as pollen and stigma determinants, revealing a duplicated origin of the SI system in grasses.

bioRxiv · Jul 18, 2022Plant Biology

Identification of candidate genes for self-compatibility in perennial ryegrass (Lolium perenne L.)

C. Cropano, C. Manzanares, S. Yates, D. Copetti, J. Do Canto, T. Lübberstedt, M. Koch, B. Studer

The paper fine maps a QTL for self-compatibility in perennial ryegrass to a 0.26 cM region containing 57 predicted genes, identifying seven candidate genes.

bioRxiv · Mar 29, 2021Plant Biology