use 16s rRNA data to predict metabolic pathway according to genome-scale network reconstructions
I want to use 16s rRNA sequencing data to predict human gut microbiome metabolic pathways. In some researches, people use computational method the establish genome-scale metabolic reconstruction to study genotype-phenotype relationship. So, is that possible to use 16s rRNA sequencing data to predict human these kind of metabolic pathways? Is there any tools that I can use to help me to achieve this goal? Any useful suggestions would be appreciated.
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It is possible to use some tools, such as PiPhillin (Sencond Genonome), PiCrust and TAX4Fun. Afterwards, treat the data with the R! Software.
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