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Bayesian inference of infectious disease transmission from whole genome sequence data

bioRxiv

Dec 16, 2013

Xavier DidelotCaroline Colijn

Abstract

Genomics is increasingly being used to investigate disease outbreaks, but an important question remains unanswered – how well do genomic data capture known transmission events, particularly for pathogens with long carriage periods or large within-host population sizes? Here we present a...read more

Mentioned in this Paper

Disease Transmission
Signal Transmission via Phosphorylation Event
Tuberculosis
Sampling - Surgical Action
Reconstructive Surgical Procedures
Biological Neural Networks
Genomics
Epidemiology
Biological Evolution
Population Group
30
4
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Bayesian inference of infectious disease transmission from whole genome sequence data

bioRxiv

Dec 16, 2013

Xavier DidelotCaroline Colijn

PMID: 990001388

DOI: 10.1101/001388

Abstract

Genomics is increasingly being used to investigate disease outbreaks, but an important question remains unanswered – how well do genomic data capture known transmission events, particularly for pathogens with long carriage periods or large within-host population sizes? Here we present a...read more

Mentioned in this Paper

Disease Transmission
Signal Transmission via Phosphorylation Event
Tuberculosis
Sampling - Surgical Action
Reconstructive Surgical Procedures
Biological Neural Networks
Genomics
Epidemiology
Biological Evolution
Population Group
30
4

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