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Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples.

Authors :
Strong, Michael J.
Xu, Guorong
Morici, Lisa
Splinter Bon-Durant, Sandra
Baddoo, Melody
Lin, Zhen
Fewell, Claire
Taylor, Christopher M.
Flemington, Erik K.
Source :
PLoS Pathogens; Nov2014, Vol. 10 Issue 11, p1-6, 6p
Publication Year :
2014

Abstract

The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in existing human-derived RNA-seq datasets that likely arises from environmental sources. This raises the need for stringent sequencing and analysis protocols for studies investigating sequence-based microbial signatures in clinical samples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15537366
Volume :
10
Issue :
11
Database :
Complementary Index
Journal :
PLoS Pathogens
Publication Type :
Academic Journal
Accession number :
99732043
Full Text :
https://doi.org/10.1371/journal.ppat.1004437