
READ ME File For 'Multi-omics data for The Antibacterial Efficacy of Disinfectants used for Infection Control'

Dataset DOI: 10.5258/SOTON/D2603

ReadMe Author: Daniel Noel, University of Southampton, ORCID ID: 0000-0001-8560-4441

This dataset supports the thesis entitled 'The Antibacterial Efficacy of Disinfectants used for Infection Control' 
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2023

DESCRIPTION OF THE DATA
Files titled "*.filter.*.vcf.gz" : Sequencing data of Klebsiella pneumoniae NCTC13443 samples used in the thesis titled "The Antibacterial Efficacy of Disinfectants used for Infection Control". The sites of genetic variation were detected in comparison to the reference sequence and are presented in a bgzip-compressed VCF (Variant Call Format) format, which is a line-orientated text format (can open in text editor or as a spreadsheet). Filename denotation: K = Klebsiella pneumoniae. PS = parent sample. Q = benzalkonium chloride tolerant sample. D = didecyldimethylammonium chloride tolerant sample. P = polyhexamethylene biguanide-tolerant sample. B = bronopol-tolerant sample. C = chlorocresol-tolerant sample. S = disinfectant formulation "SQ53"-tolerant sample. 1, 2 or 3 = biological replicate. indel = insertions or deletions of ≤ 50 nucleotide bases in length. snp = single nucleotide polymorphism.

Date of data collection: Nov 2021

Licence:
CC BY

Related projects/Funders:
Project funded by the National Institute for Health Research Southampton Biomedical Research Centre and JVS Products ltd.

Related publication:
'The Antibacterial Efficacy of Disinfectants used for Infection Control' 

Date that the file was created: April, 2023

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