_fowlerlab_
@_fowlerlab_
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Predicting antimicrobial resistance de novo
Oxford, UK
Joined October 2021
RT @ModMedMicro: Three posts all closing next week!. Senior Biostatistical Researcher Senior Bioinformatic Engineer….
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RT @ModMedMicro: Just like buses, here is a third role we are advertising for! . Come and help @philipwfowler use the large TB datasets we….
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RT @EITPathogena: 🚀 Big News! GPAS is now evolving to become the Pathogen Programme at @EITOxford. 🌍 Get ready for EIT Pathogena, a glob….
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RT @biorxiv_micrbio: Predicting rifampicin resistance in M. tuberculosis using machine learning informed by protein structural and chemical….
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RT @ModMedMicro: New paper by @ViktoriaBrunne1 out now in @MicrobioSoc #MGen. Compensatory mutations are associated with increased in vitro….
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RT @ModMedMicro: Are you an experienced bioinformatician? . Are you interested in AMR, infectious disease and diagnostics? . Come and work….
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Great work by @ViktoriaBrunne1 — preprint out before the end of her first year @Ox_DTP DPhil in @_fowlerlab_ / @ModMedMicro . She mined the @crypticproject TB dataset to identify mutations compensating for RIF resistance and showed their effect on growth in a 96-well plate.
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New publication: detecting minor populations important for predicting fluoroquinolone resistance
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New publication: determining novel mechanisms of bedaquiline resistance
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RT @philipwfowler: It is #WorldTBDay. Many people I speak to are surprised that tuberculosis kills more people every year than malaria and….
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RT @KavliOxford: Peer through the microscope lens and make a difference! The Kapanidis Gene Machines Lab is launching the Infection Inspect….
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RT @ModMedMicro: We are recruiting for 2 new research software posts to join our dynamic and friendly team, to contribute to further develo….
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PhD applications for the Computational Discovery programme close on Wed 1 March. Taking the structure of proteins into account: predicting if infections are resistant to β-lactam antibiotics using graph-based convolutional neural networks .
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Come and study for your PhD with us!. Applications to the DPhil Computational Discovery programme which has been developed with @IBMResearch are now open.
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