Author

Daniela Beißer

University of Duisburg-EssenORCID 0000-0002-0679-6631Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jens BoenigkiD· 3 shared Alexander J. ProbstiD· 1 shared Aman DeepiD· 1 shared André SoaresiD· 1 shared Anja LangeiD· 1 shared Bernd FreislebeniD· 1 shared Dominik BuchneriD· 1 shared Dominik HeideriD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersBioinformatics

Jens BoenigkORCID

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3 papers

Recent·Most cited

EcologyISME CommunicationsPeer-reviewedMay 15, 2025

Complex compositional and cellular response of river sediment microbiomes to multiple anthropogenic stressors

Tom Lennard Stach, Aman Deep, Iris Madge Pimentel…·Alexander J. Probst

This study shows river sediment microbiomes are highly sensitive to reduced flow velocity, leading to altered community compositions and stress responses that recover after two weeks.

8 citations

metagenomicsexperimental assay

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedNov 16, 2020

Natrix: A Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads

Marius Welzel, Anja Lange, Dominik Heider…·Daniela Beißer

Natrix is a Snakemake-based workflow for preprocessing and analyzing amplicon sequencing data, providing reproducible and scalable processing from quality assessment to taxonomic assignment.

30 citations

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsBMC GenomicsPeer-reviewedOct 16, 2017

TaxMapper: An Analysis Tool, Reference Database and Workflow for Metatranscriptome Analysis of Eukaryotic Microorganisms

Daniela Beißer, Nadine Graupner, Lars Großmann…·Sven Rahmann

TaxMapper improves metatranscriptome analysis of eukaryotic microorganisms by providing a reference database, a mapping tool, and an automated workflow for taxonomic and functional annotation.

14 citations

metagenomicsstatistical model

𝕏 PostBluesky