Author

T. J. Pereira

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. De Santiago· 1 shared H. M. Bik· 1 shared S. L. Mincks· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 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

1 shared paperEcology

A. De Santiago

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

EcologybioRxivJun 16, 2021

Dataset complexity impacts both MOTU delimitation and biodiversity estimates in eukaryotic 18S rRNA metabarcoding studies

A. De Santiago, T. J. Pereira, S. L. Mincks, H. M. Bik

This study evaluates how bioinformatics tools affect biodiversity estimates and MOTU delimitation in eukaryotic 18S rRNA metabarcoding, finding that ASV algorithms like DADA2 provide more accurate results than OTU clustering methods.

DOI 10.1002/edn3.255

metagenomicsdeep learning

𝕏 PostBluesky