Skip to content
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

  • News
  • Research
    • Overview
    • Manifesto
    • Software
    • Reproducibility
    • Publications
  • Members
  • Teaching
  • Contact
    • PhDs
  • Wiki
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: tuberculosis

Desirable features for any antibiotic resistance catalogue

Philip Fowler, 31st October 202331st October 2023

In the past few years a growing number of catalogues containing mutations associated with resistance…

Continue Reading
antimicrobial resistance

New preprint: compensatory mutations are associated with increased growth in resistant samples of M. tuberculosis.

Philip Fowler, 22nd June 20238th December 2023

In this preprint, Viki Brunner shows how, using the large CRyPTIC dataset, she can recapitulate…

Continue Reading

New publication: detecting minor populations important for predicting fluoroquinolone resistance

Philip Fowler, 5th April 20238th December 2023

When predicting if an infection is resistant or susceptible to a specific antibiotic, it is…

Continue Reading

New publication: determining novel mechanisms of bedaquiline resistance

Philip Fowler, 30th March 20235th April 2023

A new paper with Lindsay Sonnenkalb as first-author has just been published in The Lancet…

Continue Reading

Viki Brunner wins poster prize

Philip Fowler, 23rd November 202223rd November 2022

The whole group attended the first INEOS Oxford Institute meeting on Multidisciplinary Approaches to AMR…

Continue Reading

New preprint: Including minor alleles improves fluoroquinolone resistance prediction

Philip Fowler, 10th November 202217th November 2022

Fluoroquinolones are used to treat both normal and drug resistant tuberculosis and therefore being able…

Continue Reading
  • Previous
  • 1
  • …
  • 4
  • 5
  • 6
  • …
  • 10
  • Next
©2025 Fowler Lab | WordPress Theme by SuperbThemes