Author

P. A. Jenkins

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

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:deep learning· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1

Frequent Co-Authors

A. Ignatieva· 2 shared J. Hein· 2 shared J. Chan· 1 shared J. P. Spence· 1 shared R. B. Lyngso· 1 shared S. Mathieson· 1 shared V. Perrone· 1 shared Y. S. Song· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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2 shared papersEvolutionary Biology

A. Ignatieva

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3 papers

Recent·Most cited

KwARG: Parsimonious reconstruction of ancestral recombination graphs with recurrent mutation

A. Ignatieva, R. B. Lyngso, P. A. Jenkins, J. Hein

KwARG reconstructs ancestral recombination graphs using a parsimony-based greedy algorithm to minimize recombination and mutation events in genetic datasets.

Bioinformatics · Oct 11, 2021Peer-reviewedEvolutionary Biology

Ongoing recombination in SARS-CoV-2 revealed through genealogical reconstruction

A. Ignatieva, J. Hein, P. A. Jenkins

This study identifies ongoing recombination in SARS-CoV-2 using genealogical reconstruction and statistical analysis of sequencing data from England and South Africa.

bioRxiv · Jan 21, 2021Evolutionary Biology

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

J. Chan, V. Perrone, J. P. Spence, P. A. Jenkins, S. Mathieson, Y. S. Song

This paper introduces an exchangeable neural network framework for likelihood-free inference in population genetics, demonstrating superior performance on recombination hotspot testing.

bioRxiv · Nov 5, 2018 · PreprintEvolutionary Biology