Author

O. Michel

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· 1 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Berger· 1 shared A. D. Baughn· 1 shared A. Gorska· 1 shared A. Szewczyk· 1 shared A.-L. Kiffe-Delf· 1 shared B. Burckhardt· 1 shared B. Lungerich· 1 shared D. Podlesainski· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperMicrobiology

A. Berger

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

α-Aminooxyacetic acid derivatives acting as pro-drugs against Mycobacterium tuberculosis

K. Vill, L. van Geelen, O. Michel, A.-L. Kiffe-Delf, A. Berger, D. Podlesainski, K. Stenzel, F. Kovacic, B. Lungerich, B. Burckhardt, T. A. :Crooks, M. D. Howe, L. Ostrer, Z. Jia, T. R. Ioerger, , R. Kalscheuer

This study identifies novel anti-TB pro-drugs based on α-aminooxyacetic acid that are effective against M. tuberculosis and show low cytotoxicity.

bioRxiv · Apr 4, 2024 · PreprintMicrobiology

The cytoprotective role of antioxidants in mammalian cells under rapidly varying temperature, pressure and UV conditions during stratospheric balloon campaign

J. Kulbacka, D. Przystupski, A. Gorska, P. Rozborska, W. Bartosik, O. Michel, J. Rossowska, A. Szewczyk, M. Drag-Zalesinska, P. Kasperkiewicz, J. Gorski

The paper tests antioxidant compounds' ability to protect human cells from extreme conditions simulated by stratospheric balloon flights.

Frontiers in Pharmacology · Aug 2, 2019Peer-reviewedCell Biology

Fast Inference of Individual Admixture Coefficients Using Geographic Data

K. Caye, F. Jay, O. Michel, O. Francois

The paper introduces new algorithms that use geographic data to estimate ancestry proportions and frequencies, showing faster runtime without loss of accuracy.

The Annals of Applied Statistics · Mar 1, 2018Peer-reviewedEvolutionary Biology