Author

P. J. De Barro

Commonwealth Scientific and Industrial Research Organisation

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

Evolutionary Biology· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Assay:metagenomics· 1 Research Focus:phylogenetics / evolution· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

W. T. Tay· 2 shared Andrew PolaszekiD· 1 shared D. Kunz· 1 shared Daniele KunziD· 1 shared F. Jacomb· 1 shared J. Colvin· 1 shared John ColviniD· 1 shared K. Gordon· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 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

2 shared papersEvolutionary Biology

W. T. Tay

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

On species delimitation, hybridization and population structure of cassava whitefly in Africa

Samia Elfékih, Wee Tek Tay, Andrew Polaszek, Karl H. J. Gordon, Daniele Kunz, Sarina Macfadyen, Tom Walsh, Soňa Vyskočilová, John Colvin, P. J. De Barro

The paper uses genome-wide SNPs to reclassify cassava whitefly species and subgroups in Africa, revealing hybridization and population structure.

Scientific Reports · Apr 12, 2021Peer-reviewedGenomics

A high-throughput amplicon sequencing approach for population-wide species diversity and composition survey

W. T. Tay, L. N. Court, S. Macfadyen, F. Jacomb, S. Vyskocilova, J. Colvin, P. J. De Barro

The paper introduces a high-throughput amplicon sequencing method for rapidly surveying pest species diversity and composition, demonstrating its effectiveness in detecting cryptic Bemisia species in agricultural landscapes.

bioRxiv · Oct 12, 2020Evolutionary Biology

Take out the rubbish - Removing NUMTs and pseudogenes from the Bemisia tabaci cryptic species mtCOI database

D. Kunz, W. T. Tay, S. Elfekih, K. Gordon, P. J. De Barro

The paper identifies and removes NUMTs, pseudogenes, and low-quality sequences from mtCOI datasets to improve species identification in Bemisia tabaci cryptic species.

bioRxiv · Aug 5, 2019 · PreprintEvolutionary Biology