scispace - formally typeset
X

Xavier Didelot

Researcher at University of Warwick

Publications -  214
Citations -  15309

Xavier Didelot is an academic researcher from University of Warwick. The author has contributed to research in topics: Population & Genome. The author has an hindex of 61, co-authored 192 publications receiving 12646 citations. Previous affiliations of Xavier Didelot include Imperial College London & University of Oxford.

Papers
More filters
Journal ArticleDOI

Transforming clinical microbiology with bacterial genome sequencing

TL;DR: It is predicted that the application of next-generation sequencing will soon be sufficiently fast, accurate and cheap to be used in routine clinical microbiology practice, where it could replace many complex current techniques with a single, more efficient workflow.
Journal ArticleDOI

Inference of Bacterial Microevolution Using Multilocus Sequence Data

TL;DR: A model-based method for using multilocus sequence data to infer the clonal relationships of bacteria and the chromosomal position of homologous recombination events that disrupt a clonal pattern of inheritance is described.
Journal ArticleDOI

ClonalFrameML: efficient inference of recombination in whole bacterial genomes.

TL;DR: This work uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction and finds evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582.
Journal ArticleDOI

Diverse Sources of C. difficile Infection Identified on Whole-Genome Sequencing

TL;DR: Genetically diverse sources, in addition to symptomatic patients, play a major part in C. difficile transmission, which suggests a considerable reservoir of C. Difficile infection identified in health care settings or in the community in Oxfordshire.
Journal ArticleDOI

A comparison of homologous recombination rates in bacteria and archaea.

TL;DR: Multi Locus Sequence Typing datasets from a wide variety of bacteria and archaea are analyzed using the ClonalFrame method, enabling a direct comparison between species and allowing for a first exploration of the question whether phylogeny or ecology is the primary determinant of homologous recombination rate.