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

BashTheBug.net Beta Testing Results

Philip Fowler, 5th April 20175th August 2018

Zooniverse have finished beta-testing my BashTheBug citizen science project. To verify that the task is easy to do and the tutorial and help text understandable, the first version of the project was sent to a number of experienced Zooniverse beta-testers.

Over a period of two weeks, 672 volunteers made 34,791 classifications which is, on average, an astonishing 51 classifications each. The volunteers were emailed at 5pm on Wednesday 22 March and 40% of those classifications (14,157) were made by midnight! In addition around a quarter (176) of volunteers left detailed feedback on how easy the task was to do and how it could be improved. I’m currently making the changes they recommended and plan to launch in the first week of April 2017. Watch this space.

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 citizen science tuberculosis

Post navigation

Previous post
Next post

Related Posts

antimicrobial resistance

New publication: how quickly can be calculate the effect of a mutation on an antibiotic?

20th November 202020th November 2020

The idea for this paper arose during talking over coffee at the BioExcel Alchemical Free…

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

Twitter at #ECCMID

27th April 20175th August 2018

A bit over two years ago I was a guest blogger at the US Biophysical…

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 paper: a deep learning model that reads MICs from images of 96 well plates

26th May 20251st July 2025

Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations…

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
    ©2025 Fowler Lab | WordPress Theme by SuperbThemes
     

    Loading Comments...