| Literature DB >> 30552858 |
Adrian Egli1, Dominique S Blanc2, Gilbert Greub3, Peter M Keller4, Vladimir Lazarevic5, Aitana Lebrand6, Stephen Leib7, Richard A Neher8, Vincent Perreten9, Alban Ramette10, Jacques Schrenzel11, Roger Stephan12, Karolin Wagner4, Daniel Wuethrich13, Ioannis Xenarios6.
Abstract
Facing multidrug resistant (MDR) bacterial pathogens is one of the most important challenges for our society. The spread of highly virulent and resistant pathogens can be described using molecular typing technologies; in particular, whole genome sequencing (WGS) data can be used for molecular typing purposes with high resolution. WGS data analysis can explain the spatiotemporal patterns of pathogen transmission. However, the transmission between compartments (human, animal, food, environment) is very complex. Interoperable and curated metadata are a key requirement for fully understanding this complexity. In addition, high quality sequence data are a key element between centres using WGS data for diagnostic and epidemiological applications. We aim to describe steps to improve WGS data analysis and to implement a molecular surveillance platform allowing integration of high resolution WGS typing data and epidemiological data.Entities:
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Year: 2018 PMID: 30552858 DOI: 10.4414/smw.2018.14693
Source DB: PubMed Journal: Swiss Med Wkly ISSN: 0036-7672 Impact factor: 2.193