2017
DOI: 10.1101/189118
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SnapperDB: A database solution for routine sequencing analysis of bacterial isolates

Abstract: Real-time surveillance of infectious disease using whole genome sequencing data poses challenges in both result generation and communication. SnapperDB represents a set of tools to store bacterial variant data and facilitate reproducible and scalable analysis of bacterial populations. We also introduce the 'SNP address' nomenclature to describe the relationship between isolates in a population to the single nucleotide resolution. Summary: We announce the release of SnapperDB v1.0 a program for scalable routine… Show more

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Cited by 40 publications
(50 citation statements)
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“…Isolates of STEC O157:H7 with less than five SNPs differences within their core genome are considered closely related and likely to have an epidemiological link [15]. Hierarchical single linkage clustering was performed on the pairwise SNP difference between all isolates at various distance thresholds (Δ250, Δ100, Δ50, Δ25, Δ10, Δ5, Δ0) [16]. The result of the clustering is a SNP address that can be used to describe the population structure based on clonal groups.…”
Section: Microbiologymentioning
confidence: 99%
“…Isolates of STEC O157:H7 with less than five SNPs differences within their core genome are considered closely related and likely to have an epidemiological link [15]. Hierarchical single linkage clustering was performed on the pairwise SNP difference between all isolates at various distance thresholds (Δ250, Δ100, Δ50, Δ25, Δ10, Δ5, Δ0) [16]. The result of the clustering is a SNP address that can be used to describe the population structure based on clonal groups.…”
Section: Microbiologymentioning
confidence: 99%
“…Characterisation of isolates was performed in GBRU using a variety of methods [25][26][27][28]. Results were compared with isolates from clinical cases as part of national surveillance.…”
Section: Microbiological Examinationmentioning
confidence: 99%
“…Полногеномное SNP-типирование проводится по биоинформатическому алгоритму, включающему получение SNP-профилей в результате выравнивания (картирования) генома нуклеотидных прочтений каждого исследуемого изолята на полногеномную нуклеотидную последовательность референс-генома [36,37]. SNР-профили сравнивают различными методами филогенетического анализа или, наиболее часто, попарной оценкой различий в количестве SNP.…”
Section: Snp-типированиеunclassified