Author

Florian Pflug

University of ViennaORCID 0000-0002-5344-5359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Arndt von HaeseleriD· 3 shared Christopher EskiD· 1 shared Dominik LindenhoferiD· 1 shared Juergen A. KnoblichiD· 1 shared Laurenz HolcikiD· 1 shared Simon HaendeleriD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Arndt von HaeselerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genomic GC bias correction improves species abundance estimation from metagenomic data

Laurenz Holcik, Arndt von Haeseler, Florian Pflug

This paper introduces GuaCAMOLE, a method to correct GC bias in metagenomic data, improving species abundance estimation across 3435 colorectal cancer gut microbiomes.

Nature Communications · Nov 26, 2025Peer-reviewedBioinformatics

Neutral competition explains the clonal composition of neural organoids

Florian Pflug, Simon Haendeler, Christopher Esk, Dominik Lindenhofer, Juergen A. Knoblich, Arndt von Haeseler

The paper explains the clonal composition of neural organoids using a neutral competition model that accounts for observed lineage size variability.

PLoS Computational Biology · Apr 22, 2024Peer-reviewedSystems Biology

TRUmiCount: Correctly counting absolute numbers of molecules using unique molecular identifiers

Florian Pflug, Arndt von Haeseler

TRUmiCount corrects molecule counting biases in NGS by modeling PCR and sequencing processes, improving accuracy over existing UMI-based methods.

Bioinformatics · Apr 10, 2018Peer-reviewedBioinformatics