ena-STUDY-NIZO food research-18-05-2021-14:24:47:733-283
16S sequencing data from skin microbiota samples derived from female volunteers
To obtain more insight into the connection between the skin microbiome and the human physiological processes involved in skin aging, we performed a systematic study on interconnected pathways of human and bacterial metabolic processes that are known to play a role in skin aging. The bacterial genes in these pathways were subsequently used to create Hidden Markov Models (HMMs), which were applied to screen for presence of defined functionalities in both genomic and metagenomic datasets of skin-associated bacteria. These models were further applied on 16S sequencing data from skin microbiota samples derived from female volunteers of two different age groups (25-28 years ('young') and 59-68 years ('old')).
To obtain more insight into the connection between the skin microbiome and the human physiological processes involved in skin aging, we performed a systematic study on interconnected pathways of human and bacterial metabolic processes that are known to play a role in skin aging. The bacterial genes in these pathways were subsequently used to create Hidden Markov Models (HMMs), which were applied to screen for presence of defined functionalities in both genomic and metagenomic datasets of skin-associated bacteria. These models were further applied on 16S sequencing data from skin microbiota samples derived from female volunteers of two different age groups (25-28 years ('young') and 59-68 years ('old')).