Author

E. Hartop

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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Evolutionary Biology· 3 Ecology· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Research Focus:ecology & biodiversity· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

A. Srivathsan· 5 shared R. Meier· 5 shared D. Yeo· 2 shared S. N. Kutty· 2 shared A. K. Hansen· 1 shared B. Blaimer· 1 shared C. Vasilita· 1 shared E. Buenaventura· 1 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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5 shared papersEvolutionary Biology

A. Srivathsan

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Author profile →

5 papers

Recent·Most cited

Express barcoding with NextGenPCR and MinION for species-level sorting of ecological samples

C. Vasilita, V. Feng, A. K. Hansen, E. Hartop, A. Srivathsan, R. Meier

This paper introduces a rapid, low-cost barcoding workflow using NextGenPCR and MinION sequencers to identify species in ecological samples within 6 hours.

bioRxiv · Apr 27, 2023Ecology

A re-analysis of the data in Sharkey et al.'s (2021) minimalist revision reveals that BINs do not deserve names, but BOLD Systems needs a stronger commitment to open science

R. Meier, B. Blaimer, E. Buenaventura, E. Hartop, T. von Rintelen, A. Srivathsan, D. Yeo

This paper re-analyzes BINs from Sharkey et al. (2021) and finds they are unstable and insufficiently described, highlighting issues with BOLD Systems' use of proprietary data and algorithms.

bioRxiv · Apr 28, 2021Evolutionary Biology

Large-scale Integrative Taxonomy (LIT): resolving the data conundrum for dark taxa

E. Hartop, A. Srivathsan, F. Ronquist, R. Meier

The paper introduces Large-scale Integrative Taxonomy (LIT) to efficiently delimit species in dark taxa by combining rapid, low-cost data with targeted validation, achieving high congruence with morphology.

bioRxiv · Apr 13, 2021 · PreprintEvolutionary Biology

MinION barcodes: biodiversity discovery and identification by everyone, for everyone

A. Srivathsan, L. Lee, K. Katoh, E. Hartop, S. N. Kutty, J. Wong, D. Yeo, R. Meier

This paper introduces a low-cost, accessible workflow and software for DNA barcoding using MinION sequencing, achieving high accuracy comparable to Sanger and Illumina methods.

bioRxiv · Mar 9, 2021Ecology

Rapid, large-scale species discovery in hyperdiverse taxa using 1D MinION sequencing

A. Srivathsan, E. Hartop, J. Puniamoorthy, W. T. Lee, S. N. Kutty, O. Kurina, R. Meier

This paper demonstrates the use of MinION sequencing for rapid, large-scale species discovery in the hyperdiverse Phoridae fly family, identifying over 650 species from a single trap in Uganda.

BMC Biology · Nov 29, 2019Peer-reviewedEvolutionary Biology