Daniel Hoffmann

Professor

Universität Duisburg-Essen

Germany

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Daniel Hoffmann is a Professor at the University of Duisburg-Essen, Germany. His research areas encompass Bayesian analysis, epigenetics, viral adaptation, and computational approaches in single-cell RNA sequencing. He has contributed to various articles that explore topics such as chondrogenesis, cancer cell stemness, and the implications of immune responses in viral infections.

Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (5)

Selma Ugurel

GERMANY

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Peter Bayer

Prof./ Head of Research Group

Universität Duisburg-Essen

GERMANY

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MASAHIRO SHUDA

Assistant Professor

University of Pittsburgh

UNITED STATES

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Lisa Villabona

Karolinska Institutet

SWEDEN

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Shirley Knauer

Professor

Universität Duisburg-Essen

GERMANY

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Daniel Hoffmann

Research Interests

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About

Articles (18)

Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis

BAYAS: simplifying access to Bayesian analysis for biologists

HBV shows different levels of adaptation to HLA class I-associated selection pressure correlating with markers of replication

scBubbletree: computational approach for visualization of single cell RNA-seq data

Merkel cell polyomavirus pan‐T antigen knockdown reduces cancer cell stemness and promotes neural differentiation independent of RB1

Stroke and myocardial infarction induce neutrophil extracellular trap release disrupting lymphoid organ structure and immunoglobulin secretion

How Do Molecular Tweezers Bind to Proteins? Lessons from X-ray Crystallography

Increasing information gain in animal research by improving statistical model accuracy

Sequence diversity of hepatitis D virus in Mongolia

Hedgehog is relayed through dynamic heparan sulfate interactions to shape its gradient

Targeted mutations in IFNα2 improve its antiviral activity against various viruses

Computational model predicts protein binding sites of a luminescent ligand equipped with guanidiniocarbonyl-pyrrole groups

Immune escape pathways from the HBV core18-27 CD8 T cell response are driven by individual HLA class I alleles

HAMdetector: A Bayesian regression model that integrates information to detect HLA-associated mutations

DNA-methylation patterns imply a common cellular origin of virus- and UV-associated Merkel cell carcinoma

Clinical and molecular characteristics associated with response to therapeutic PD-1/PD-L1 inhibition in advanced Merkel cell carcinoma

Dual activity inhibition of threonine aspartase 1 by a single bisphosphate ligand

Rhinovirus prevalence as indicator for efficacy of measures against SARS-CoV-2

Collaborators (5)

Selma Ugurel

Peter Bayer

MASAHIRO SHUDA

Lisa Villabona

Shirley Knauer

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