{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Barnes CJ"],"funding":["LEO Foundation","LEO Fondet"],"pagination":["1293-1302"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7717693"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["69(11)"],"pubmed_abstract":["<b>Introduction.</b> The pathogenesis of atopic dermatitis (AD) is not yet fully understood, but the bacterial composition of AD patients' skin has been shown to have an increased abundance of <i>Staphylococcus aureus</i>. More recently, coagulase-negative <i>Staphylococcus</i> (CoNS) species were shown to be able to inhibit <i>S. aureus</i>, but further studies are required to determine the effects of <i>Staphylococcus</i> community variation in AD.<b>Aim.</b> Here we investigated whether analysing metabarcoding data with the more recently developed DADA2 approach improves metabarcoding analyses compared to the previously used operational taxonomic unit (OTU) clustering, and can be used to study <i>Staphylococcus</i> community dynamics.<b>Methods.</b> The bacterial 16S rRNA region from ta"],"journal":["Journal of medical microbiology"],"pubmed_title":["Comparing DADA2 and OTU clustering approaches in studying the bacterial communities of atopic dermatitis."],"pmcid":["PMC7717693"],"funding_grant_id":["LF16003","LF-OC-19-000036","1110001001"],"pubmed_authors":["Clausen ML","Barnes CJ","Knudsen SW","Asplund M","Rasmussen L","Agner T","Hansen AJ"],"additional_accession":[]},"is_claimable":false,"name":"Comparing DADA2 and OTU clustering approaches in studying the bacterial communities of atopic dermatitis.","description":"<b>Introduction.</b> The pathogenesis of atopic dermatitis (AD) is not yet fully understood, but the bacterial composition of AD patients' skin has been shown to have an increased abundance of <i>Staphylococcus aureus</i>. More recently, coagulase-negative <i>Staphylococcus</i> (CoNS) species were shown to be able to inhibit <i>S. aureus</i>, but further studies are required to determine the effects of <i>Staphylococcus</i> community variation in AD.<b>Aim.</b> Here we investigated whether analysing metabarcoding data with the more recently developed DADA2 approach improves metabarcoding analyses compared to the previously used operational taxonomic unit (OTU) clustering, and can be used to study <i>Staphylococcus</i> community dynamics.<b>Methods.</b> The bacterial 16S rRNA region from ta","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Nov","modification":"2026-05-04T19:56:05.142Z","creation":"2021-02-20T07:41:29Z"},"accession":"S-EPMC7717693","cross_references":{"pubmed":["32965212"],"doi":["10.1099/jmm.0.001256"]}}