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

GPAS

Philip Fowler, 17th May 202113th October 2021

I’ve been working on this for the last few months and very happy that we can now share our plans.

Through a very generous donation by ORACLE, a group of researchers led by ModMedMicro at Oxford, are developing a cloud-based clinical microbiology genetics processing service, called the Global Pathogen Analysis System (GPAS).

GPAS is still in development and and uses the Scalable Pathogen Processing Pipeline to run a range of bioinformatic workflows on the ORACLE Cloud. For SARS-CoV-2, the idea is you’ll be able to upload SARS-CoV-2 genetic reads* to the ORACLE cloud which will then produce a consensus genome and associated relevant information, for example what lineage does this sample belong to and what mutations are there in the Spike protein?

A key principle is that the data is owned by the submitter and therefore submitters will be able to request that their consensus sequence is automatically deposited in a public archive or that their genetic reads are deleted from the cloud following processing.

Looking forward to sharing more on this soon.

  • after personal identifiable information has been removed, as is standard. To begin with we will focussing on the ARTIC protocols and Illumina and ONT sequencing.

Share this:

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

Related

antimicrobial resistance clinical microbiology computing distributed computing grants

Post navigation

Previous post
Next post

Related Posts

distributed computing

Azure, Hackathons and PhD students: Feedback

2nd December 201714th March 2018

This is the second year that I have organised a three-week course on Bioinformatics from…

Share this:

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

Desirable features for any antibiotic resistance catalogue

31st October 202331st October 2023

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

Share this:

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

SARS-CoV-2 pipeline live on EIT Pathogena

28th January 202528th January 2025

Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy…

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Bluesky (Opens in new window) Bluesky
  • Click to email a link to a friend (Opens in new window) Email
  • Click to share on LinkedIn (Opens in new window) LinkedIn
  • Click to 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
     

    Loading Comments...