Author

L. Featherstone

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:virus· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:long-read sequencing· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

S. Duchene· 3 shared A. Rambaut· 1 shared D. Purcell· 1 shared D. Rawlinson· 1 shared D. Williamson· 1 shared E. C. Holmes· 1 shared F. Di Giallonardo· 1 shared G. Baele· 1 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersEvolutionary Biology

S. Duchene

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Infectious disease phylodynamics with occurrence data

L. Featherstone, F. Di Giallonardo, E. C. Holmes, T. Vaughan, S. Duchene

The paper shows that incorporating occurrence data with birth-death models improves estimates of the basic reproductive number in phylodynamic analyses, while coalescent models are less affected by sampling biases but cannot use occurrence data.

bioRxiv · Sep 14, 2020Evolutionary Biology

Temporal signal and the phylodynamic threshold of SARS-CoV-2

S. Duchene, L. Featherstone, M. Haritopoulou-Sinanidou, A. Rambaut, P. Lemey, G. Baele

This study assesses the phylodynamic threshold of SARS-CoV-2 by analyzing genome sequences over time to determine when reliable evolutionary rate and outbreak timing estimates became possible.

bioRxiv · May 4, 2020Evolutionary Biology

Direct RNA sequencing and early evolution of SARS-CoV-2

G. Taiaroa, D. Rawlinson, L. Featherstone, M. Pitt, L. Caly, J. Druce, D. Purcell, L. Harty, T. Tran, J. Roberts, N. Scott, M. Catton, D. Williamson, L. Coin, S. Duchene

The paper presents the first native RNA sequence of SARS-CoV-2, detailing its transcriptome and epitranscriptome, and infers genetic features and evolutionary rate.

bioRxiv · Mar 5, 2020 · PreprintMicrobiology