Author

A. P. Vogler

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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Ecology· 2 Evolutionary Biology· 2 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Assay:metagenomics· 4 Research Focus:ecology & biodiversity· 3 Approach:statistical model· 3 Organism:non-human primate· 2 Approach:benchmark study· 1 Approach:biophysical modeling· 1 Research Focus:clustering· 1

Frequent Co-Authors

C. Andujar· 3 shared P. Arribas· 3 shared A. Salces-Castellano· 2 shared B. C. Emerson· 2 shared A. Crampton-Platt· 1 shared A. Hunter· 1 shared A. Papadopoulou· 1 shared A. Perez-Delgado· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersEvolutionary Biology

C. Andujar

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Author profile →

5 papers

Recent·Most cited

Image-based taxonomic classification of bulk biodiversity samples using deep learning and domain adaptation

T. Fujisawa, V. Noguerales, E. Meramveliotakis, A. Papadopoulou, A. P. Vogler

This study uses deep learning and domain adaptation to classify bulk invertebrate samples from unexplored ecosystems, showing improved accuracy with standardized imaging and transfer learning.

bioRxiv · Dec 22, 2021Zoology

Quantitative prey species detection in predator guts across multiple trophic levels by DNA shotgun sequencing

D. P. Paula, R. V. Timbo, R. C. Togawa, A. P. Vogler, D. A. Andow

This study quantifies prey species in predator guts using DNA shotgun sequencing, showing high accuracy and taxonomic resolution across trophic levels.

bioRxiv · Apr 1, 2021 · PreprintEcology

The limited spatial scale of dispersal in soil arthropods revealed with whole-community haplotype-level metabarcoding

P. Arribas, C. Andujar, A. Salces-Castellano, B. C. Emerson, A. P. Vogler

This study uses whole-community haplotype-level metabarcoding to show dispersal limitation shapes soil arthropod community structure at local scales across three Iberian regions.

bioRxiv · Jun 18, 2020Ecology

Validated removal of nuclear pseudogenes and sequencing artefacts from mitochondrial metabarcode data

C. Andujar, T. J. Creedy, P. Arribas, H. Lopez, A. Salces-Castellano, A. Perez-Delgado, A. P. Vogler, B. C. Emerson

The paper introduces metaMATE, a framework to filter out non-authentic sequences from mitochondrial metabarcoding data by evaluating abundance thresholds and reference data.

bioRxiv · Jun 17, 2020Evolutionary Biology

The contribution of mitochondrial metagenomics to largescale data mining and phylogenetic analysis of Coleoptera

B. Linard, A. Crampton-Platt, J. Moriniere, M. J. Timmermans, C. Andujar, P. Arribas, K. E. Miller, J. Lipecki, E. Favreau, A. Hunter, C. Gomez-Rodriguez, C. Barton, R. Nie, C. P. Gillett, T. Breeschoten, , A. P. Vogler

This study uses mitochondrial metagenomics and bulk sequencing to assemble a large phylogenetic tree of Coleoptera, showing congruence with Linnaean taxonomy but limited resolution for basal nodes.

bioRxiv · Jul 16, 2018Evolutionary Biology