Author

Samantha C. Pendleton

Aberystwyth UniversityORCID 0000-0002-6169-0135Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:benchmark study· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andreas KarwathiD· 1 shared Georgios V. GkoutosiD· 1 shared Hilary FanningiD· 1 shared John Alexander WilliamsiD· 1 shared Luke T. SlateriD· 1 shared Paul N. SchofieldiD· 1 shared Robert HoehndorfiD· 1 shared Simon T. BalliD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Andreas KarwathORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 14, 2021

Klarigi: Characteristic Explanations for Semantic Data

Luke T. Slater, John Alexander Williams, Paul N. Schofield…·Georgios V. Gkoutos

Klarigi identifies compositional and discriminatory ontology classes for groups of biomedical entities, providing semantic explanations that extend existing knowledge.

DOI 10.1101/2021.06.14.448423

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 28, 2018

An analysis of current state of the art software on nanopore metagenomic data

Samantha C. Pendleton

The paper evaluates current bioinformatics software's performance with nanopore metagenomic data, finding most work well but some fail, and low-quality data may be average.

2 citations

metagenomicsbenchmark study

𝕏 PostBluesky