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Martin C. J. Maiden

Researcher at University of Oxford

Publications -  412
Citations -  40782

Martin C. J. Maiden is an academic researcher from University of Oxford. The author has contributed to research in topics: Neisseria meningitidis & Multilocus sequence typing. The author has an hindex of 94, co-authored 393 publications receiving 36732 citations. Previous affiliations of Martin C. J. Maiden include Deutsche Sammlung von Mikroorganismen und Zellkulturen & University of London.

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Multilocus sequence typing: A portable approach to the identification of clones within populations of pathogenic microorganisms

TL;DR: Multilocus sequence typing (MLST), which exploits the unambiguous nature and electronic portability of nucleotide sequence data for the characterization of microorganisms, can be applied to almost all bacterial species and other haploid organisms, including those that are difficult to cultivate.
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BIGSdb: Scalable analysis of bacterial genome variation at the population level

TL;DR: The Bacterial Isolate Genome Sequence Database (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.
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Sex and virulence in Escherichia coli: an evolutionary perspective

TL;DR: The evolution of virulence is linked to bacterial sex because rates of evolution have accelerated in pathogenic lineages, culminating in highly virulent organisms whose genomic contents are altered frequently by increased rates of homologous recombination.
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Report of the ad hoc committee for the re-evaluation of the species definition in bacteriology.

TL;DR: An ad hoc committee for the re-evaluation of the species definition in bacteriology met in Gent, Belgium, in February 2002 and made various recommendations regarding the species definitions in the light of developments in methodologies available to systematists.
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Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications.

TL;DR: Developments in the BIGSdb software made from publication to June 2018 are described and it is shown how the platform realises microbial population genomics for a wide range of applications.