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- June 7, 2015.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Kevin Dialdestoroa,
- Jonas Andreas Sibbesenb*,
- Lasse Marettyb*,
- Jayna Raghwanic,
- Astrid Galld,
- Paul Kellamd,e,
- Oliver G. Pybusc,
- Jotun Heina and
- Paul A. Jenkinsf,†
- aDepartment of Statistics, University of Oxford, Oxford, United Kingdom
- bThe Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- cDepartment of Zoology, University of Oxford, Oxford, United Kingdom
- dWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
- eUCL/MRC Centre for Medical Molecular Virology, Division of Infection and Immunity, University College London, United Kingdom
- fDepartment of Statistics, University of Warwick, Coventry, United Kingdom
- ↵†To whom correspondence may be addressed: p.jenkins{at}warwick.ac.uk
↵* These authors contributed equally to the work.
Posted June 07, 2015.
Coalescent inference using serially sampled, high-throughput sequencing data from HIV infected patients
