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A platform for leveraging next generation sequencing for routine microbiology and public health use
Citation
Rusu, LI and Wyres, KL and Reumann, M and Queiroz, C and Bojovschi, A and Conway, T and Garg, S and Edwards, DJ and Hogg, G and Holt, KE, A platform for leveraging next generation sequencing for routine microbiology and public health use, Health Information Science and Systems, 3, (S7) pp. 1-7. ISSN 2047-2501 (2015) [Refereed Article]
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Copyright Statement
Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/
Official URL: http://www.hissjournal.com/content/3/S1/S7
DOI: doi:10.1186/2047-2501-3-S1-S7
Abstract
Even with the advent of next-generation sequencing (NGS) technologies which have revolutionised the field of
bacterial genomics in recent years, a major barrier still exists to the implementation of NGS for routine
microbiological use (in public health and clinical microbiology laboratories). Such routine use would make a big
difference to investigations of pathogen transmission and prevention/control of (sometimes lethal) infections.
The inherent complexity and high frequency of data analyses on very large sets of bacterial DNA sequence data,
the ability to ensure data provenance and automatically track and log all analyses for audit purposes, the need for
quick and accurate results, together with an essential user-friendly interface for regular non-technical laboratory
staff, are all critical requirements for routine use in a public health setting. There are currently no systems to
answer positively to all these requirements, in an integrated manner.
In this paper, we describe a system for sequence analysis and interpretation that is highly automated and tackles
the issues raised earlier, and that is designed for use in diagnostic laboratories by healthcare workers with no
specialist bioinformatics knowledge.
Item Details
Item Type: | Refereed Article |
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Keywords: | NGS, public health |
Research Division: | Information and Computing Sciences |
Research Group: | Information systems |
Research Field: | Decision support and group support systems |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies and services not elsewhere classified |
UTAS Author: | Garg, S (Dr Saurabh Garg) |
ID Code: | 98692 |
Year Published: | 2015 |
Web of Science® Times Cited: | 4 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2015-02-25 |
Last Modified: | 2015-04-09 |
Downloads: | 304 View Download Statistics |
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