article Open AccessTop 1% cited
BIGSdb: Scalable analysis of bacterial genome variation at the population level
BMC Bioinformatics · 2010 · Vol. 11(1) · pp. 595–595
Keith A. Jolley✉(University of Oxford)Martin Maiden(University of Oxford)
Abstract
Genomic data can be used to characterise bacterial isolates in many different ways but it can also be efficiently exploited for evolutionary or functional studies. BIGSDB represents a freely available resource that will assist the broader community in the elucidation of the structure and function of bacteria by means of a population genomics approach.
Genomics and Phylogenetic StudiesBacterial Identification and Susceptibility TestingGut microbiota and healthMultilocus sequence typingGenomicsAnnotationScalabilityGenomeComputer scienceSoftwareComputational biologyPopulationBiology
MeSH terms
Base SequenceSoftwareGenetic VariationGenome, BacterialSequence Analysis, DNAGenomicsDatabases, Genetic
Funding
- Wellcome Trust
- University of Oxford
Citations
2,398
FWCI
20.15
field-weighted impact
References
58
Percentile
100%
vs. same field & year
Citations per year
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