Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples.
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...
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| Language: | English |
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Public Library of Science (PLoS)
2014-11-01
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| Series: | PLoS Pathogens |
| Online Access: | http://europepmc.org/articles/PMC4239086?pdf=render |
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doaj-6e8712d11e804bbf8103a64d95686e142020-11-25T00:02:08ZengPublic Library of Science (PLoS)PLoS Pathogens1553-73661553-73742014-11-011011e100443710.1371/journal.ppat.1004437Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples.Michael J StrongGuorong XuLisa MoriciSandra Splinter Bon-DurantMelody BaddooZhen LinClaire FewellChristopher M TaylorErik K FlemingtonThe 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.http://europepmc.org/articles/PMC4239086?pdf=render |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Michael J Strong Guorong Xu Lisa Morici Sandra Splinter Bon-Durant Melody Baddoo Zhen Lin Claire Fewell Christopher M Taylor Erik K Flemington |
| spellingShingle |
Michael J Strong Guorong Xu Lisa Morici Sandra Splinter Bon-Durant Melody Baddoo Zhen Lin Claire Fewell Christopher M Taylor Erik K Flemington Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. PLoS Pathogens |
| author_facet |
Michael J Strong Guorong Xu Lisa Morici Sandra Splinter Bon-Durant Melody Baddoo Zhen Lin Claire Fewell Christopher M Taylor Erik K Flemington |
| author_sort |
Michael J Strong |
| title |
Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. |
| title_short |
Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. |
| title_full |
Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. |
| title_fullStr |
Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. |
| title_full_unstemmed |
Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. |
| title_sort |
microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. |
| publisher |
Public Library of Science (PLoS) |
| series |
PLoS Pathogens |
| issn |
1553-7366 1553-7374 |
| publishDate |
2014-11-01 |
| description |
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. |
| url |
http://europepmc.org/articles/PMC4239086?pdf=render |
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