Author

R. Hoefler

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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Cell Biology· 3

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Research Focus:chromatin & epigenetic regulation· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

D. W. Gerlich· 2 shared A. Markovic· 1 shared A. Martyniak· 1 shared C. Blaukopf· 1 shared C. S. Campbell· 1 shared C. Sommer· 1 shared J. Nuebler· 1 shared J. Schmid· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCell Biology

D. W. Gerlich

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3 papers

Recent·Most cited

Adaptation to spindle assembly checkpoint inhibition through the selection of specific aneuploidies

M. A. Y. Adell, T. C. Klockner, R. Hoefler, L. Wallner, J. Schmid, A. Markovic, A. Martyniak, C. S. Campbell

This study shows human cells adapt to SAC inhibition by acquiring specific aneuploidies that reduce chromosomal instability.

bioRxiv · Oct 4, 2022Cell Biology

Dynamics of sister chromatid resolution during cell cycle progression

R. Stanyte, J. Nuebler, C. Blaukopf, R. Hoefler, R. Stocsits, J.-M. Peters, D. W. Gerlich

This study investigates sister chromatid organization in live human cells, finding that sister loci separate during G2 phase and equilibrate within dynamic chromatin polymers, challenging the notion of persistent cohesin sites.

bioRxiv · Mar 16, 2018Cell Biology

A Deep Learning And Novelty Detection Framework For Rapid Phenotyping In High-Content Screening

C. Sommer, R. Hoefler, M. Samwer, D. W. Gerlich

CellCognition Explorer uses deep learning and novelty detection to rapidly phenotype high-content screening data without prior phenotype knowledge or user training.

bioRxiv · Sep 1, 2017Cell Biology