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BadTrIP specifications
Information
| Unique identifier | OMICS_28941 |
|---|---|
| Name | BadTrIP |
| Alternative name | BAyesian epiDemiological TRansmission Inference from Polymorphisms |
| Software type | Application/Script |
| Interface | Command line interface |
| Restrictions to use | None |
| Operating system | Unix/Linux |
| License | GNU General Public License version 3.0 |
| Computer skills | Advanced |
| Stability | Stable |
| Maintained | Yes |
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Maintainer
- person_outline Nicolan de Maio <>
Publication for BAyesian epiDemiological TRansmission Inference from Polymorphisms
2018 PLoS Comput Biol
PMCID: 5927459
PMID: 29668677
DOI: 10.1371/journal.pcbi.1006117
BadTrIP in publication
PMCID: 5927459
PMID: 29668677
DOI: 10.1371/journal.pcbi.1006117
[…] observed due to sequencing error, as well as the specification of a realistic model for within-host pathogen population dynamics. here we propose a new bayesian approach to transmission inference, badtrip (bayesian epidemiological transmission inference from polymorphisms), that explicitly models evolution of pathogen populations in an outbreak, transmission (including transmission […]
BadTrIP institution(s)
Nuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
BadTrIP funding source(s)
Supported by the Wellcome Trust and the Royal Society (grant 101237/Z/13/Z), the Bill and Melinda Gates Foundation (grant OPP1091919), a Public Health England/University of Oxford Clinical Lectureship and Oxford Martin School.
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