Angela Zivkovic edited Results - PICRUSt.md  almost 10 years ago

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##Metagenome Prediction with PICRUSt  With PICRUSt, one can calculate a metric (NSTI) that measures how closely related the average 16S sequence in an environmental sample is to an available sequenced genome. When this number is low, PICRUSt is likely to perform well in predicting the genomes of the organisms in an environmental sample (i.e., a metagenome). The average NSTI for our 15 meals was 0.03(??), which is on par with the NSTI for the Human Microbiome Project samples (??), for which a massive effort has been made to obtain reference genome sequences. The most significant difference in KEGG functional categories was for “Other N-glycan degradation" (KO 00511, *p* = 8.21e-3). 8.21e-3).This suggests that there are functional differences in bacterial populations associated with different foods and that these may be related to bacterial substrate preferences.