Author

D. Helekal

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· 4

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 3 Research Focus:phylogenetics / evolution· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

X. Didelot· 4 shared A. Ledda· 1 shared D. Wyllie· 1 shared E. Volz· 1 shared J. Koskela· 1 shared M. Keeling· 1 shared M. Kendall· 1 shared P. Ribeca· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 13 mutual co-author links

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4 shared papersEvolutionary Biology

X. Didelot

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Inference of multiple mergers while dating a pathogen phylogeny

D. Helekal, J. Koskela, X. Didelot

This paper develops a method to detect multiple merger events in pathogen phylogenies and improves dating by incorporating these events, validated on simulated and real datasets.

bioRxiv · Sep 12, 2023Evolutionary Biology

Estimating the fitness cost and benefit of antimicrobial resistance from pathogen genomic data

D. Helekal, M. Keeling, Y. H. Grad, X. Didelot

This paper estimates the fitness cost and benefit of antimicrobial resistance using genomic data from Neisseria gonorrhoeae, showing that fluoroquinolone resistance could be safely used in a minority of cases.

bioRxiv · Dec 2, 2022Evolutionary Biology

Distinguishing imported cases from locally acquired cases within a geographically limited genomic sample of an infectious disease

X. Didelot, D. Helekal, M. Kendall, P. Ribeca

This paper introduces a method to distinguish imported from locally acquired infectious disease cases using genomic data from a single location, showing good sensitivity and specificity.

bioRxiv · Jul 15, 2022Evolutionary Biology

Bayesian inference of clonal expansions in a dated phylogeny

D. Helekal, A. Ledda, E. Volz, D. Wyllie, X. Didelot

The paper develops a Bayesian model to infer clonal expansions in phylogenies and applies it to simulated and real datasets.

bioRxiv · Jul 1, 2021Evolutionary Biology