A platform for leveraging next generation sequencing for routine microbiology and public health use. Issue 1 (December 2015)

• Record Type: Journal Article
• Authors: Rusu, Laura; Wyres, Kelly; Reumann, Matthias; Queiroz, Carlos; Bojovschi, Alexe; Conway, Tom; Garg, Saurabh; Edwards, David; Hogg, Geoff; Holt, Kathryn
• Is Part Of: Health information science and systems. Volume 3:Issue 1(2015)
• Page Start: 1
• Page End: 7
• Publication Date: 2015-12
• Subjects: Medical informatics -- Periodicals; Medicine -- Data processing -- Periodicals; Medical Informatics -- Periodicals; Medical informatics; Medicine -- Data processing; Periodicals; Electronic journals; 610.28
• DOI: 10.1186/2047-2501-3-S1-S7
• Languages: English
• ISSNs: 2047-2501

Abstract

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 forroutine 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 regularnon-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.