Author

Marie Hebel

Goethe University Frankfurt

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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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Research Focus:variant effect prediction· 2 Assay:ChIP-seq· 1 Assay:CRISPR screen· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1

Frequent Co-Authors

Florian SchmidtiD· 2 shared Manuel KaulichiD· 2 shared Marcel H. SchulziD· 2 shared Martin WegneriD· 2 shared Nina BaumgarteniD· 2 shared Alexander MarxiD· 1 shared Claudia DöeringiD· 1 shared Hendrik Schaefer· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Florian SchmidtORCID

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Author profile →

3 papers

Recent·Most cited

Integrative analysis of epigenetics data identifies gene-specific regulatory elements

Florian Schmidt, Alexander Marx, Nina Baumgarten, Marie Hebel, Martin Wegner, Manuel Kaulich, Matthias S. Leisegang, Ralf Peter Brandes, Jonathan Göke, Jilles Vreeken, Marcel H. Schulz

This paper introduces a new method to identify gene-specific regulatory elements by integrating epigenomics data and demonstrates its application in prioritizing doxorubicin-resistance genes.

Nucleic Acids Research · Sep 8, 2021Peer-reviewedBioinformatics

Computational prediction of CRISPR-impaired non-coding regulatory regions

Nina Baumgarten, Florian Schmidt, Martin Wegner, Marie Hebel, Manuel Kaulich, Marcel H. Schulz

The paper introduces a computational pipeline to interpret CRISPR mutations in non-coding regions using epigenomic data, revealing novel regulatory elements involved in chemoresistance.

Biological Chemistry · Mar 2, 2021Peer-reviewedBioinformatics

Bioinformatics analysis quantifies neighborhood preferences of cancer cells in Hodgkin lymphoma.

Jennifer Scheidel, Hendrik Schaefer, Jöerg Ackermann, Marie Hebel, Tim Schäfer, Claudia Döering, Sylvia Hartmann, Martin‐Leo Hansmann, Ina Koch

The paper quantifies spatial neighborhood preferences of cancer cells in Hodgkin lymphoma using whole slide images and statistical analysis.

bioRxiv · Dec 4, 2017 · PreprintBioinformatics