Bayesian identification of bacterial strains from sequencing data.

ABSTRACT: Rapidly assaying the diversity of a bacterial species present in a sample obtained from a hospital patient or an environmental source has become possible after recent technological advances in DNA sequencing. For several applications it is important to accurately identify the presence and estimate relative abundances of the target organisms from short sequence reads obtained from a sample. This task is particularly challenging when the set of interest includes very closely related organisms, such as different strains of pathogenic bacteria, which can vary considerably in terms of virulence, resistance and spread. Using advanced Bayesian statistical modelling and computation techniques we introduce a novel pipeline for bacterial identification that is shown to outperform the currently leadi

SUBMITTER: Sankar A 

PROVIDER: S-EPMC5320594 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature