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

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

This data is not currently available because: Intent to publish project results

Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2018

Data format: .xlsx, .xls, .png

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 8

DOI : 10.17035/d.2018.0051571814

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


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


Candidosis, Microbiome

Research Areas

Related Projects

Last updated on 2020-04-02 at 14:43