Author

Andreas Wilting

Leibniz Institute for Zoo and Wildlife ResearchORCID 0000-0001-5073-9186Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 3 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:field survey / ecological data· 1

Frequent Co-Authors

Azlan MohamediD· 2 shared Jan AxtneriD· 2 shared Alex Crampton‐PlattiD· 1 shared Alex David GreenwoodiD· 1 shared Anisha DayaramiD· 1 shared Charles C.Y. XuiD· 1 shared Douglas W. YuiD· 1 shared Jürgen NiedballaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersMolecular Biology

Azlan MohamedORCID

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3 papers

Recent·Most cited

EcologybioRxivPreprintSep 26, 2025

The camtrapR R package: From data management to interactive ecological analysis of camera trap data

Jürgen Niedballa, Rahel Sollmann, Andreas Wilting

The paper introduces an updated camtrapR package that provides an end-to-end analytical platform for camera trap data, including a graphical interface and Bayesian modeling workflows.

DOI 10.1101/2025.09.26.678697

field survey / ecological datadeep learning

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Molecular BiologyMethods in Ecology and EvolutionPeer-reviewedJun 17, 2021

Non-invasive surveys of mammalian viruses using environmental DNA

Niccolò Alfano, Anisha Dayaram, Jan Axtner…·Alex David Greenwood

The paper detects and identifies known and novel mammalian viruses from environmental DNA and invertebrate-derived DNA using hybridization capture and sequencing.

26 citations

metagenomicsexperimental assay

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Molecular BiologyGigaSciencePeer-reviewedApr 1, 2019

An efficient and robust laboratory workflow and tetrapod database for larger scale eDNA studies

Jan Axtner, Alex Crampton‐Platt, Lisa Hörig…·Andreas Wilting

The paper presents a lab workflow and bioinformatic pipeline to improve eDNA metabarcoding accuracy by reducing contamination and taxonomic mis-assignment risks.

50 citationstop 4%

metagenomicsstatistical model

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