Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers
There has been a gradual increase in 16S deep sequencing studies on infectious disease materials. Management of bacterial DNA contamination is a major challenge in such diagnostics, particularly in low biomass samples.
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American Society for Microbiology
2021
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oai:doaj.org-article:7e158acfaad245d589d8e7bb2c45acab2021-11-03T21:15:03ZManaging Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers2150-751110.1128/mBio.00598-21https://doaj.org/article/7e158acfaad245d589d8e7bb2c45acab2021-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00598-21https://doaj.org/toc/2150-7511 There has been a gradual increase in 16S deep sequencing studies on infectious disease materials. Management of bacterial DNA contamination is a major challenge in such diagnostics, particularly in low biomass samples.Ruben DyrhovdenMartin RippinKjell Kåre ØvrebøRandi M. NygaardElling UlvestadØyvind KommedalAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 12, Iss 3 (2021) |
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Microbiology QR1-502 |
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Microbiology QR1-502 Ruben Dyrhovden Martin Rippin Kjell Kåre Øvrebø Randi M. Nygaard Elling Ulvestad Øyvind Kommedal Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers |
description |
There has been a gradual increase in 16S deep sequencing studies on infectious disease materials. Management of bacterial DNA contamination is a major challenge in such diagnostics, particularly in low biomass samples. |
format |
article |
author |
Ruben Dyrhovden Martin Rippin Kjell Kåre Øvrebø Randi M. Nygaard Elling Ulvestad Øyvind Kommedal |
author_facet |
Ruben Dyrhovden Martin Rippin Kjell Kåre Øvrebø Randi M. Nygaard Elling Ulvestad Øyvind Kommedal |
author_sort |
Ruben Dyrhovden |
title |
Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers |
title_short |
Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers |
title_full |
Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers |
title_fullStr |
Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers |
title_full_unstemmed |
Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers |
title_sort |
managing contamination and diverse bacterial loads in 16s rrna deep sequencing of clinical samples: implications of the law of small numbers |
publisher |
American Society for Microbiology |
publishDate |
2021 |
url |
https://doaj.org/article/7e158acfaad245d589d8e7bb2c45acab |
work_keys_str_mv |
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1718445406216519680 |