Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic

Gonzalo Yebra, Emma B. Hodcroft, Manon L. Ragonnet-Cronin, Deenan Pillay, Andrew J. Leigh Brown, Unknown, Christophe Fraser, Paul Kellam, Tulio de Oliveira, Ann Dennis, Anne Hoppe, Cissy Kityo, Dan Frampton, Deogratius Ssemwanga, Frank Tanser, Jagoda Keshani, Jairam Lingappa, Joshua Herbeck, Maria Wawer, Max Essex, Myron S. Cohen, Nicholas Paton, Oliver Ratmann, Pontiano Kaleebu, Richard Hayes, Sarah Fidler, Thomas Quinn, Vladimir Novitsky, Unknown, Andrew Haywards, Eleni Nastouli, Steven Morris, Duncan Clark, Zisis Kozlakidis

Open source

DOI: 10.1038/srep39489
Published: 2016-12-23
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/srep39489,
  title = {Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic},
  author = {Gonzalo Yebra and Emma B. Hodcroft and Manon L. Ragonnet-Cronin and Deenan Pillay and Andrew J. Leigh Brown and Unknown and Christophe Fraser and Paul Kellam and Tulio de Oliveira and Ann Dennis and Anne Hoppe and Cissy Kityo and Dan Frampton and Deogratius Ssemwanga and Frank Tanser and Jagoda Keshani and Jairam Lingappa and Joshua Herbeck and Maria Wawer and Max Essex and Myron S. Cohen and Nicholas Paton and Oliver Ratmann and Pontiano Kaleebu and Richard Hayes and Sarah Fidler and Thomas Quinn and Vladimir Novitsky and Unknown and Andrew Haywards and Eleni Nastouli and Steven Morris and Duncan Clark and Zisis Kozlakidis},
  year = {2016},
  journal = {Scientific Reports},
  doi = {10.1038/srep39489},
  url = {https://doi.org/10.1038/srep39489}
}

RIS

TY  - JOUR
TI  - Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic
AU  - Gonzalo Yebra
AU  - Emma B. Hodcroft
AU  - Manon L. Ragonnet-Cronin
AU  - Deenan Pillay
AU  - Andrew J. Leigh Brown
AU  - Unknown
AU  - Christophe Fraser
AU  - Paul Kellam
AU  - Tulio de Oliveira
AU  - Ann Dennis
AU  - Anne Hoppe
AU  - Cissy Kityo
AU  - Dan Frampton
AU  - Deogratius Ssemwanga
AU  - Frank Tanser
AU  - Jagoda Keshani
AU  - Jairam Lingappa
AU  - Joshua Herbeck
AU  - Maria Wawer
AU  - Max Essex
AU  - Myron S. Cohen
AU  - Nicholas Paton
AU  - Oliver Ratmann
AU  - Pontiano Kaleebu
AU  - Richard Hayes
AU  - Sarah Fidler
AU  - Thomas Quinn
AU  - Vladimir Novitsky
AU  - Unknown
AU  - Andrew Haywards
AU  - Eleni Nastouli
AU  - Steven Morris
AU  - Duncan Clark
AU  - Zisis Kozlakidis
PY  - 2016
JO  - Scientific Reports
DO  - 10.1038/srep39489
UR  - https://doi.org/10.1038/srep39489
ER  -

APA

Yebra, G., Hodcroft, E. B., Ragonnet-Cronin, M. L., Pillay, D., Brown, A. J. L., Unknown, Fraser, C., Kellam, P., Oliveira, T. D., Dennis, A., Hoppe, A., Kityo, C., Frampton, D., Ssemwanga, D., Tanser, F., Keshani, J., Lingappa, J., Herbeck, J., Wawer, M., Essex, M., Cohen, M. S., Paton, N., Ratmann, O., Kaleebu, P., Hayes, R., Fidler, S., Quinn, T., Novitsky, V., Unknown, Haywards, A., Nastouli, E., Morris, S., Clark, D., & Kozlakidis, Z. (2016). Using nearly full-genome HIV sequence data improves phylogeny reconstruction in a simulated epidemic. Scientific Reports. https://doi.org/10.1038/srep39489

Source records

crossref · retrieved 2026-09-26T15:38:43.271Z