BioinformaticsBioinformaticsPeer-reviewed journal article
SnapperDB: A database solution for routine sequencing analysis of bacterial isolates
Timothy J. DallmaniD, Philip AshtoniD, Ulf Schafer, Aleksey JironkiniD, Anaïs PainsetiD, Sharif ShaabaniD, Hassan B. HartmaniD, Richard E. MyersiD, Anthony P. UnderwoodiD, Claire JenkinsiD, Kathie Grant
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.\n\nSummaryWe announce the release of SnapperDB v1.0 a program for scalable routine SNP analysis and storage of microbial populations.\n\nAvailabilitySnapperDB is implemented as a python application under the open source BSD license. All code and user guides are available at https://github.com/phe-bioinformatics/snapperdb.\n\nContacttim.dallman@phe.gov.uk\n\nSupplementary informationSupplementary data are available at Bioinformatics online.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: database / resource
- approach: experimental assay
- Citations
- 216
- FWCI
- 8.27
- Field percentile
- top 1%
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