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10.1186/s40168-017-0267-5 http://scihub22266oqcxt.onion/10.1186/s40168-017-0267-5 C5420141!5420141 !28476139     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28476139 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Microbiome 2017 ; 5 (1 ): 52 Nephropedia Template TP {{tp|p=28476139 |t=2017. Optimizing methods and dodging pitfalls in microbiome research |pdf=|usr=}}{{28476139 }} gab.com Text Optimizing methods and dodging pitfalls in microbiome research JO: Microbiome http://www.kidney.de/pget.php?&tw=1&pmid=28476139 #FOAvip Research on the human microbiome has yielded numerous insights into health and disease, but also has resulted in a wealth of experimental artifacts. Here, we present suggestions for optimizing experimental design and avoiding known pitfalls, organized in the typical order in which studies are carried out. We first review best practices in experimental design and introduce common confounders such as age, diet, antibiotic use, pet ownership, longitudinal instability, and microbial sharing during cohousing in animal studies. Typically, samples will need to be stored, so we provide data on best practices for several sample types. We then discuss design and analysis of positive and negative controls, which should always be run with experimental samples. We introduce a convenient set of non-biological DNA sequences that can be useful as positive controls for high-volume analysis. Careful analysis of negative and positive controls is particularly important in studies of samples with low microbial biomass, where contamination can comprise most or all of a sample. Lastly, we summarize approaches to enhancing experimental robustness by careful control of multiple comparisons and to comparing discovery and validation cohorts. We hope the experimental tactics summarized here will help researchers in this exciting field advance their studies efficiently while avoiding errors. Twit Text FOAVip Optimizing methods and dodging pitfalls in microbiome research ????Microbiome http://www.kidney.de/pget.php?&tw=1&pmid=28476139 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28476139 #FOAvip English Wikipedia <ref>{{Cite pmid|28476139 }}</ref> Optimizing methods and dodging pitfalls in microbiome research #MMPMID28476139 Kim D ; Hofstaedter CE ; Zhao C ; Mattei L ; Tanes C ; Clarke E ; Lauder A ; Sherrill-Mix S ; Chehoud C ; Kelsen J ; Conrad M ; Collman RG ; Baldassano R ; Bushman FD ; Bittinger K Microbiome 2017[May]; 5 (1 ): 52 PMID28476139 show ga Research on the human microbiome has yielded numerous insights into health and disease, but also has resulted in a wealth of experimental artifacts. Here, we present suggestions for optimizing experimental design and avoiding known pitfalls, organized in the typical order in which studies are carried out. We first review best practices in experimental design and introduce common confounders such as age, diet, antibiotic use, pet ownership, longitudinal instability, and microbial sharing during cohousing in animal studies. Typically, samples will need to be stored, so we provide data on best practices for several sample types. We then discuss design and analysis of positive and negative controls, which should always be run with experimental samples. We introduce a convenient set of non-biological DNA sequences that can be useful as positive controls for high-volume analysis. Careful analysis of negative and positive controls is particularly important in studies of samples with low microbial biomass, where contamination can comprise most or all of a sample. Lastly, we summarize approaches to enhancing experimental robustness by careful control of multiple comparisons and to comparing discovery and validation cohorts. We hope the experimental tactics summarized here will help researchers in this exciting field advance their studies efficiently while avoiding errors. |Animals [MESH] |Humans [MESH] |Metagenomics [MESH] |Microbiological Techniques/*methods/standards [MESH] |Microbiota [MESH] |Reproducibility of Results [MESH]Optimizing methods and dodging pitfalls in microbiome research (epmc).pdf DeepDyve Pubget Overpricing