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

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

Philip Fowler, 31st January 202431st January 2024

In this preprint, we describe how in July 2022 for two weeks seven sites in six continents uploaded raw genetics files derived from sequencing SARS-CoV-2 clinical samples to our cloud-based platform, GPAS. Overall 5,436 samples were uploaded to GPAS and, unsurprisingly at that time, various Omicron lineages dominated. More surprisingly was the finding that highly similar SARS-CoV-2 genomes could be found in multiple continents, indicative of the rapid rate that the virus was transported around the world.

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

clinical microbiology distributed computing gpas

Post navigation

Previous post
Next post

Related Posts

computing

GROMACS on AWS

13th January 20164th December 2016

In this post I’m going to show how I created an Amazon Machine Instance with…

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
antimicrobial resistance

GARC: A Grammar for Antimicrobial Resistance Catalogues

25th November 201817th November 2020

During the CRyPTIC project it has become obvious that we need a grammar to describe…

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
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:

  • 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...