Author

T. De Meyer

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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Cancer Biology· 1 Evolutionary Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. P. Cardilini· 1 shared B. Verstraeten· 1 shared C. A. Vandenbussche· 1 shared C. D. H. Sherman· 1 shared D. F. Clayton· 1 shared D. W. Burt· 1 shared G. F. Ball· 1 shared H. M. Rowland· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperEvolutionary Biology

A. P. Cardilini

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Concurrent invasions by European starlings (Sturnus vulgaris) suggest selection on shared genomic regions even after genetic bottlenecks

N. R. Hofmeister, K. Stuart, W. C. Warren, S. J. Werner, M. Bateson, G. F. Ball, K. L. Buchanan, D. W. Burt, A. P. Cardilini, P. Cassey, T. De Meyer, J. George, S. L. Meddle, H. M. Rowland, C. D. H. Sherman, , D. F. Clayton

The paper compares whole-genome sequences of European Starlings from native and introduced populations to show that post-bottleneck expansion supports local adaptation through selection on shared genomic regions.

bioRxiv · May 19, 2021 · PreprintEvolutionary Biology

Genome-wide shifts in histone modifications at early stage of rice infection with Meloidogyne graminicola

M. R. Atighi, B. Verstraeten, T. De Meyer, T. Kyndt

The paper investigates genome-wide histone modifications in rice during early infection by Meloidogyne graminicola, showing dynamic changes associated with plant defense genes.

bioRxiv · Jul 6, 2020Plant Biology

A Comprehensive Overview Of Genomic Imprinting In Breast & Its Deregulation In Cancer

T. Goovaerts, S. Steyaert, C. A. Vandenbussche, J. Galle, O. Thas, W. Van Criekinge, T. De Meyer

The paper develops a mixture distribution model to detect monoallelically expressed loci in breast tissue RNA-seq data, identifying imprinted genes and their deregulation in breast cancer.

bioRxiv · Feb 1, 2018Cancer Biology