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

SARS-CoV-2 pipeline live on EIT Pathogena

Philip Fowler, 28th January 202528th January 2025

Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy a bioinformatics pipeline in ORACLE Cloud that processes raw genetic files and infers what the consensus genome is and hence what lineage (e.g. BA.2) it belongs to. The heart of the pipeline is an amplicon-aware variant caller, viridian, that was written by Zamin Iqbal’s group and there is a nice preprint out showing how it avoids various calling artefacts that can complicate phylogenetic tree construction.

An improved version of the pipeline has now been deployed, tested and launched on EIT Pathogena, a cloud-based genetics platform. Anyone can sign up and process at least 1,000 samples for free.

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

clinical microbiology

Post navigation

Previous post
Next post

Related Posts

antimicrobial resistance

New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis

3rd October 202530th October 2025

The CRyPTIC project carried out many exciting research projects but it never quite got around…

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
clinical microbiology

New preprint: processing SARS-CoV-2 genetics in the cloud

31st January 202431st January 2024

In this preprint, we describe how in July 2022 for two weeks seven sites in…

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

New preprint: rapid prediction of AMR by free energy methods

15th January 202015th January 2020

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

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