Skip to content
Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

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

Predicting antibiotic resistance de novo

New preprint: comparing different genetics analysis pipelines for tuberculosis

Philip Fowler, 13th January 202513th January 2025

Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport to take raw genetic reads from a clinical sample containing M. tuberculosis (or Mycobacteria generally) and process them to produce a putative genome from which an antibiogram can be predicted. He couldn’t get some of the pipelines to work but of the others, with a few exceptions, AMR prediction performance was often similar. The non-functional features of EIT Pathogena stand-out; these are things like resilience, ease-of-use, speed and security. You can read about it here.

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon

Related

antimicrobial resistance clinical microbiology gpas publication research tuberculosis

Post navigation

Previous post
Next post

Related Posts

antimicrobial resistance

BioExcel Alchemical Free Energy workshop

17th June 2019

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

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon
Read More
antimicrobial resistance

FowlerLab at ESM 2024

1st July 20241st July 2024

Three of us (Dylan Adlard, Dylan Dissanayake and Philip Fowler) attended the 44th Congress of…

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon
Read More
citizen science

Automated detection of bacterial growth on 96-well plates (AMyGDA)

11th December 20175th August 2018

I am involved in an international collaboration, the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium…

Share this:

  • Share on X (Opens in new window) X
  • Share on Bluesky (Opens in new window) Bluesky
  • Email a link to a friend (Opens in new window) Email
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Mastodon (Opens in new window) Mastodon
Read More

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.

To find out more, including how to control cookies, see here: Cookie Policy
    ©2026 Fowler Lab | WordPress Theme by SuperbThemes