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Non-targeted identification of microbes is now possible directly in biological samples, based on whole-genome-NGS (WG-NGS) techniques that allow deep sequencing of nucleic acids, data mining and sorting out of sequences of pathogens without any a priori hypothesis. WG-NGS was first only used as a research tool due to its cost, complexity and lack of standardization. Recent improvements in sample preparation and bioinformatics pipelines and decrease in cost now allow actionable diagnostics in patients. The potency and limits of WG-NGS and possible future indications are discussed here. WG-NGS will likely soon become a standard procedure in microbiological diagnosis.
Title:
Infectious Diseases and Translational Medicine
Abbreviated Title:
Infect. Dis. Transl. Med.
Abbreviated Title:
Infect. Dis. Transl. Med.
Publisher:
International Biological and Medical Journals Publishing House Co., Limited
(Room E16, 3/f, Yongda Commercial Building, No.97, Bonham Stand (Sheung Wan), HongKong
)
ISSN
(Print):
2411-2917
Publication date
(Print):
10
April
2016
Publication date
(Electronic):
10
April
2016
Volume: 2
Issue: 1
Pages: 1-2
Affiliations
From the Department of Anatomy and Physiology, Kansas State University, 228 Coles
Hall, Manhattan, KS, USA66506-5802
From the Department of Anatomy and Physiology, Kansas State University, 228 Coles
Hall, Manhattan, KS, USA66506-5802
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike
4.0 Unported License. To view a copy of this license, visit
http://creativecommons.org/licenses/by/4.0/