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

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:

  • 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 computing distributed computing grants

Post navigation

Previous post
Next post

Related Posts

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
antimicrobial resistance

Genetics and Tuberculosis: A Case of New Meets Old

12th July 2019

I was very pleased to be invited to contribute to this “Voices” article organised by…

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 software: gemucator

4th September 20184th September 2018

Short for “Genbank Mutation Locator”. A simple Python3 package that if you pass it a…

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