Author

Denise Scherzinger

University Medical Center of the Johannes Gutenberg University Mainz

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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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

Fédérico MariniiD· 2 shared Sven DanckwardtiD· 2 shared Ansgar PoetschiD· 1 shared Anton Ogorodnikov· 1 shared Bin TianiD· 1 shared Frank WestermanniD· 1 shared Hans Christian ProbstiD· 1 shared Harald BinderiD· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Fédérico MariniORCID

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Author profile →

3 papers

Recent·Most cited

TREND-DB - A Transcriptome-wide Atlas of the Dynamic Landscape of Alternative Polyadenylation

Fédérico Marini, Denise Scherzinger, Sven Danckwardt

TREND-DB catalogs the dynamic landscape of alternative polyadenylation by analyzing transcriptome changes after depleting >170 proteins involved in gene regulation and epigenetics.

Nucleic Acids Research · Aug 25, 2020Peer-reviewedGenomics

PCF11 connects alternative polyadenylation to formation and spontaneous regression of neuroblastoma

Anton Ogorodnikov, Michal Levin, Surendra Mohan Tattikota, Sergey V. Tokalov, Mainul Hoque, Denise Scherzinger, Fédérico Marini, Ansgar Poetsch, Harald Binder, Stephan Macher-Göppinger, Hans Christian Probst, Bin Tian, Michael Schaefer, Karl Johannes Lackner, Frank Westermann, Sven Danckwardt

The paper identifies PCF11 as a critical regulator of alternative polyadenylation in neuroblastoma, linking it to cell fate reprogramming and spontaneous tumor regression.

Nature Communications · Dec 10, 2018Peer-reviewedGenomics

dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data

Sergi Sayols, Denise Scherzinger, Holger Klein

dupRadar assesses PCR artifacts in RNA-Seq data by distinguishing artifact from natural duplicate reads based on gene expression levels.

bioRxiv · Mar 29, 2016Bioinformatics