2014
DOI: 10.1371/journal.pone.0104984
|View full text |Cite
|
Sign up to set email alerts
|

Solving the Problem of Comparing Whole Bacterial Genomes across Different Sequencing Platforms

Abstract: Whole genome sequencing (WGS) shows great potential for real-time monitoring and identification of infectious disease outbreaks. However, rapid and reliable comparison of data generated in multiple laboratories and using multiple technologies is essential. So far studies have focused on using one technology because each technology has a systematic bias making integration of data generated from different platforms difficult. We developed two different procedures for identifying variable sites and inferring phyl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
519
0
4

Year Published

2015
2015
2021
2021

Publication Types

Select...
8
1
1

Relationship

1
9

Authors

Journals

citations
Cited by 643 publications
(524 citation statements)
references
References 26 publications
1
519
0
4
Order By: Relevance
“…In order to explore the genetic diversity between the 95 strains analysed, a whole genome Single-Nucleotide Polymorphisms (SNPs) analysis was performed using the online software CSI Phylogeny 1.0a [32]. Here, the analysis focuses upon all the genes shared in common by the strains and the number and location of the single nucleotide differences within those common genes.…”
Section: Methodsmentioning
confidence: 99%
“…In order to explore the genetic diversity between the 95 strains analysed, a whole genome Single-Nucleotide Polymorphisms (SNPs) analysis was performed using the online software CSI Phylogeny 1.0a [32]. Here, the analysis focuses upon all the genes shared in common by the strains and the number and location of the single nucleotide differences within those common genes.…”
Section: Methodsmentioning
confidence: 99%
“…The version described in this paper is version XXXX01000000. Genomic analyses (MultiLocus Sequences Typing-MLST and virulence factors) were performed using the Center for Genomic Epidemiology website platform Zankari et al, 2012;Joensen et al, 2014;Kaas et al, 2014).…”
Section: Genomes Sequencingmentioning
confidence: 99%
“…A single-nucleotide polymorphism (SNP) based phylogeny tree, using strain EGD-e as the reference genome, was inferred by CSI Phylogeny 1.4. [19] using the default parameters. Briefly, SNPs were called by mapping the genomes of the studied strains to that of the reference.…”
Section: Methodsmentioning
confidence: 99%