Author

Hannah M. Read

University of AucklandORCID 0000-0002-9540-5224Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alanna CallendrelloiD· 1 shared Alex GreyiD· 1 shared Bradford P. TayloriD· 1 shared Hemanoel Passarelli‐AraujoiD· 1 shared Madikay SenghoreiD· 1 shared Matthew R. GoddardiD· 1 shared Priyali OzaiD· 1 shared Robyn S. LeeiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Alanna CallendrelloORCID

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1 paper

Recent·Most cited

Beyond consensus sequence: a quantitative scheme for inferring transmission using deep sequencing in a bacterial transmission model

Madikay Senghore, Hannah M. Read, Priyali Oza, Sarah Johnson, Hemanoel Passarelli‐Araujo, Bradford P. Taylor, Stephen Ashley, Alex Grey, Alanna Callendrello, Robyn S. Lee, Matthew R. Goddard, Thomas Lumley, William Paul Hanage, Siouxsie Wiles

The paper develops a model to infer bacterial transmission using deep sequencing data from a mouse model, showing that within-host variant abundance differences can accurately identify transmission pairs.

bioRxiv · Oct 17, 2022 · PreprintGenomics