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: computing

antimicrobial resistance

AMyGDA now available from GitHub

Philip Fowler, 27th January 202027th January 2020

AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each…

Continue Reading
antimicrobial resistance

New preprint: rapid prediction of AMR by free energy methods

Philip Fowler, 15th January 202015th January 2020

The story behind this preprint goes back to the workshop on free energy methods run…

Continue Reading
computing

GROMACS2018 on NVIDIA DGX-1s

Philip Fowler, 27th September 201929th October 2019

HECBioSim advertised for proposals to use JADE, the new Tier-2 UK GPU high performance computer…

Continue Reading
antimicrobial resistance

New publication: Predicting resistance is (not) futile

Philip Fowler, 21st August 201921st August 2019

Our “First Reactions” article has been published in ACS Central Science. We discuss the paper,…

Continue Reading
antimicrobial resistance

BioExcel Alchemical Free Energy workshop

Philip Fowler, 17th June 2019

Last month I was invited to give a talk on using alchemical free energy methods…

Continue Reading
computing

Compression FASTA files natively in Python

Philip Fowler, 23rd May 201926th May 2019

The M. tuberculosis genome is pretty small, only 4.4 million nucleotides, so storing all that…

Continue Reading
  • Previous
  • 1
  • 2
  • 3
  • 4
  • …
  • 10
  • Next
©2025 Fowler Lab | WordPress Theme by SuperbThemes
 

Loading Comments...