z-logo
open-access-imgOpen Access
Improving the quality and workflow of bacterial genome sequencing and analysis: paving the way for a Switzerland-wide molecular epidemiological surveillance platform
Author(s) -
Adrian Egli,
Dominique Blanc,
Gilbert Greub,
Peter M. Keller,
Vladimir Lazarević,
Aitana Lebrand,
Stephen L. Leib,
Richard A. Neher,
Vincent Perreten,
Alban Ramette,
Jacques Schrenzel,
Roger Stephan,
Karolin Wagner,
Daniel Wuethrich,
Ioannis Xénarios
Publication year - 2018
Publication title -
schweizerische medizinische wochenschrift
Language(s) - English
Resource type - Journals
ISSN - 0036-7672
DOI - 10.4414/smw.2018.14693
Subject(s) - workflow , interoperability , transmission (telecommunications) , computational biology , whole genome sequencing , typing , metadata , data quality , genome , data science , medicine , computer science , genetics , biology , world wide web , database , gene , telecommunications , metric (unit) , operations management , economics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom