Mind your Ps: A probabilistic model to aid the interpretation of molecular epidemiology data.

ABSTRACT:

Background

Assessing relatedness of pathogen sequences in clinical samples is a core goal in molecular epidemiology. Tools for Bayesian analysis of phylogeny, such as the BEAST software package, have been typically used in the analysis of sequence/time data in public health. However, they are computationally-, time-, and knowledge-intensive, demanding resources that many laboratories do not have available or cannot allocate frequently.

Methods

To evaluate a faster and simpler alternative method to support the routine interpretation of sequence data for epidemiology, we obtained sequences for two regions in the measles virus genome, N-450 and MF-NCR, from patient samples of genotypes B3, D4 and D8 taken between 2011 and 2017 in the UK and Romania. A mathematical model incorpo

SUBMITTER: Penedos AR 

PROVIDER: S-EPMC9006250 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature