Author

Marcus Oswald

Jena University HospitalORCID 0000-0002-0740-7343Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Karsten RippeiD· 2 shared Rainer KönigiD· 2 shared Alexandra M. Poos· 1 shared Alexandra Maria PoosiD· 1 shared Amol Kolte· 1 shared Andrey KorshunoviD· 1 shared David Castel· 1 shared David T. W. JonesiD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersBioinformatics

Karsten RippeORCID

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3 papers

Recent·Most cited

Gene expression profiles based flux balance model to predict the carbon source for Bacillus subtilis

Kulwadee Thanamit, Franziska Hörhold, Marcus Oswald, Rainer Koenig

The paper develops an FBA-based model using gene expression data to predict carbon sources for Bacillus subtilis, showing good agreement with 13C metabolic flux data.

bioRxiv · Mar 20, 2020 · PreprintBioinformatics

Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach

Alexandra Maria Poos, Theresa Kordaß, Amol Kolte, Volker Ast, Marcus Oswald, Karsten Rippe, Rainer König

The paper improves the MIPRIP method to identify common and cancer-type specific TERT regulators across 19 cancers using human and mouse regulatory networks.

BMC Bioinformatics · Dec 1, 2019Peer-reviewedBioinformatics

Dissecting telomere maintenance mechanisms in pediatric glioblastoma

Katharina I. Deeg, Inn Chung, Alexandra M. Poos, Delia M. Braun, Andrey Korshunov, Marcus Oswald, Nick Kepper, Sebastian Bender, David Castel, Peter Lichter, Jacques Grill, Stefan M. Pfister, Rainer König, David T. W. Jones, Karsten Rippe

This study identifies ALT markers and mechanisms in pediatric glioblastoma using genomic and telomere features, revealing non-canonical ALT and a reliable classification scheme.

bioRxiv · Apr 20, 2017 · PreprintCancer Biology