Teitl: Next-generation sequencing read data for bacterial microbiome profiling

Dyfyniad
Morse DJ, Smith A, Williams DD, et al. (2018). Next-generation sequencing read data for bacterial microbiome profiling. Cardiff University. https://doi.org/10.17035/d.2018.0051571814

Manylion y Set Ddata

Cyhoeddwr: Cardiff University

Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2018

Fformat y data: .xlsx, .xls, .png

Amcangyfrif o gyfanswm maint storio'r set ddata: Llai na 100 megabeit

Nifer y ffeiliau yn y set ddata: 8

DOI : 10.17035/d.2018.0051571814

DOI URL: http://doi.org/10.17035/d.2018.0051571814

Disgrifiad

This clinical study aimed to characterise the bacterial communities associated with health and disease of a condition known as denture-associated stomatitis (DS).

The study recruited 19 patients, of which 8 showed clinical symptoms of DS, and 11 were 'healthy'. DNA was extracted from the samples, and specifically the bacterial DNA was sequenced to identify the bacterial species present in a number of samples from each patient (tongue, palate and denture surface). Relative abundance of each bacterial species was calculated and the data used to determine differences between DS and non-DS patients, and whether presence/absence, or the relative abundance of specific bacterial species could be implicated in the disease incidence.

The data comprises patient demographics including gender, age, smoking status and disease state, raw sequence data and relative abundance of all bacterial species detected in the study, along with graphical representations of the outputs of the grouped and sub-grouped analyses.

Research results based upon these data are published at https://doi.org/10.1038/s41598-019-46494-0