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Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies
BACKGROUND: There is an immense scientific interest in the human microbiome and its effects on human physiology, health, and disease. A common approach for examining bacterial communities is high-throughput sequencing of 16S rRNA gene hypervariable regions, aggregating sequence-similar amplicons int...
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發表在: | Microbiome |
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Main Authors: | , , , , , , , , |
格式: | Artigo |
語言: | Inglês |
出版: |
BioMed Central
2016
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主題: | |
在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5123278/ https://ncbi.nlm.nih.gov/pubmed/27884206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40168-016-0208-8 |
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