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10.1128/mSystems.00043-17 http://scihub22266oqcxt.onion/10.1128/mSystems.00043-17 C5527301!5527301!28761935     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28761935.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       mSystems 2017 ; 2 (4): � Nephropedia Template TP {{tp|p=28761935|t=2017. The Skin Microbiome of Cohabiting Couples |pdf=|usr=}}{{28761935}} gab.com Text The Skin Microbiome of Cohabiting Couples JO: mSystems http://www.kidney.de/pget.php?&tw=1&pmid=28761935 #FOAvip Our work characterizes the influence of cohabitation as a factor influencing the composition of the skin microbiome. Although the body site and sampled individual were stronger influences than other factors collected as metadata in this study, we show that modeling of detected microbial taxa can help with correct identifications of cohabiting partners based on skin microbiome profiles using machine learning approaches. These results show that a cohabiting partner can significantly influence our microbiota. Follow-up studies will be important for investigating the implications of shared microbiome on dermatological health and the shared contributions of cohabiting parents to the microbiome profiles of their infants. Twit Text FOAVip The Skin Microbiome of Cohabiting Couples ????mSystems http://www.kidney.de/pget.php?&tw=1&pmid=28761935 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28761935 #FOAvip English Wikipedia <ref>{{Cite pmid|28761935}}</ref> The Skin Microbiome of Cohabiting Couples #MMPMID28761935 Ross AA; Doxey AC; Neufeld JD mSystems 2017[Jul]; 2 (4): � PMID28761935show ga Our work characterizes the influence of cohabitation as a factor influencing the composition of the skin microbiome. Although the body site and sampled individual were stronger influences than other factors collected as metadata in this study, we show that modeling of detected microbial taxa can help with correct identifications of cohabiting partners based on skin microbiome profiles using machine learning approaches. These results show that a cohabiting partner can significantly influence our microbiota. Follow-up studies will be important for investigating the implications of shared microbiome on dermatological health and the shared contributions of cohabiting parents to the microbiome profiles of their infants. �The Skin Microbiome of Cohabiting Couples (epmc).pdf DeepDyve Pubget Overpricing