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Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability

机译：用于微生物组分析的16S核糖体DNA测序的多中心质量评估显示高中心间变异性

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Hiergeist Andreas; Reischl Udo; Gessner Andrè;
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1. Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability [J] . Hiergeist Andreas, Reischl Udo, Gessner Andre International journal of medical microbiology: IJMM . 2016,第5期

机译：用于微生物组分析的16S核糖体DNA测序的多中心质量评估显示高中心间变异性
2. Bacterial Diversity and Community Structure in an Aerated Lagoon Revealed by Ribosomal Intergenic Spacer Analyses and 16S Ribosomal DNA Sequencing [J] . Zhongtang Yu, William W. Mohn Applied and Environmental Microbiology . 2001,第4期

机译：核糖体间基因间隔分析和16S核糖体DNA测序揭示了充气湖中的细菌多样性和群落结构。
3. 16S ribosomal RNA sequencing reveals a modulation of intestinal microbiome and immune response by dietary L-theanine supplementation in broiler chickens [J] . Saeed Muhammad, Xu Yatao, Zhang Tiantian, Poultry Science . 2019,第2期

机译：16S核糖体RNA测序显示肉鸡鸡膳食L-Themine补充的肠道微生物组和免疫应答的调节
4. An implementation of infants' gut microbiome maturation analyses by 16s rRNA from stool samples in extraction solution of room temperature [C] . Bingbing Liang, Wenyu Fan, Jing Ginger Han, IEEE International Conference on Bioinformatics and Biomedicine . 2017

机译：室温提取液中粪便样本的16s rRNA对婴儿肠道微生物组成熟度分析的实施
5. Assessment of climatic variability on water quality, quantity, and crop productivity in Mississippi watersheds [D] . Jayakody, Badde Vidanelage Priyantha Lal. 2013

机译：评估密西西比河流域水质，水量和作物生产力的气候变化
6. Bacterial Diversity and Community Structure in an Aerated Lagoon Revealed by Ribosomal Intergenic Spacer Analyses and 16S Ribosomal DNA Sequencing [O] . Zhongtang Yu, William W. Mohn 2001

机译：核糖体间基因间隔分析和16S核糖体DNA测序揭示了充气湖中的细菌多样性和群落结构。
7. Bacterial Diversity and Community Structure in an Aerated Lagoon Revealed by Ribosomal Intergenic Spacer Analyses and 16S Ribosomal DNA Sequencing [O] . Yu, Zhongtang, Mohn, William W. 2001

机译：核糖体间基因间隔分析和16S核糖体DNA测序揭示了充气湖中的细菌多样性和群落结构。

Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability

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