10.1016/j.mimet.2017.06.006

10.1016/j.mimet.2017.06.006 Journal of Microbiological Methods 139 (2017) 196–201 Contents lists available at ScienceDirect Journal of Microbiological Methods journal homepage: www.elsevier.com/locate/jmicmeth A novel method to determine the minimum number of sequences required MARK for reliable microbial community analysis a,b,c,d a,b e a,b,⁎ Jiajia Ni , Xiaojing Li , Zhili He , Meiying Xu Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Institute of Microbiology, Guangzhou, China State Key Laboratory of Applied Microbiology Southern China, Guangzhou, China Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center of Artificial Organ and Tissue Engineering, Zhujiang Hosplital of Southern Medical University, Guangzhou, China State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China Institute for Environmental Genomics, Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA ARTICLE I NFO ABSTRACT Keywords: Although high-throughput sequencing is an efficient approach to study the structure of microbial communities in High-throughput sequencing detail, it is still impossible to enumerate all individuals using this method. Therefore, it is a common strategy to Microbial community generate sampling datasets that are representative of the assemblages. However, the representativeness of these Minimum number of sequences sampling datasets has never been assessed. In this study, we http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

10.1016/j.mimet.2017.06.006

Elsevier — Jun 11, 2020

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Journal of Microbiological Methods 139 (2017) 196–201 Contents lists available at ScienceDirect Journal of Microbiological Methods journal homepage: www.elsevier.com/locate/jmicmeth A novel method to determine the minimum number of sequences required MARK for reliable microbial community analysis a,b,c,d a,b e a,b,⁎ Jiajia Ni , Xiaojing Li , Zhili He , Meiying Xu Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Institute of Microbiology, Guangzhou, China State Key Laboratory of Applied Microbiology Southern China, Guangzhou, China Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center of Artificial Organ and Tissue Engineering, Zhujiang Hosplital of Southern Medical University, Guangzhou, China State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China Institute for Environmental Genomics, Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA ARTICLE I NFO ABSTRACT Keywords: Although high-throughput sequencing is an efficient approach to study the structure of microbial communities in High-throughput sequencing detail, it is still impossible to enumerate all individuals using this method. Therefore, it is a common strategy to Microbial community generate sampling datasets that are representative of the assemblages. However, the representativeness of these Minimum number of sequences sampling datasets has never been assessed. In this study, we

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