CRyPTIC retweeted
Don't forget about the new and exciting post going within MMM for a front-end web-developer!
my.corehr.com/pls/uoxrecruit…
CRyPTIC retweeted
🚨Last few days to apply to be our Programme Manager to help us research infectious diseases.
Deadline is noon Mon 7 Nov.
bit.ly/3SUgKYT
CRyPTIC retweeted
Want to help drive forward a diverse range of research projects in clinical microbiology, including pathogen genomics, epidemiological studies and rapid diagnostics?
Join us as our Programme Manager!
Deadline noon 7 Nov 2022
bit.ly/3SUgKYT
@NDMOxford @OxfordBRC
CRyPTIC retweeted
Study by @crypticproject presents an #OpenSource dataset of 12,289 #Mycobacterium #tuberculosis clinical isolates from 23 countries on 5 continents, including genomic sequence & susceptibility profile for 13 drugs of each isolate #TB #PLOSBiology plos.io/3bZBn5K
CRyPTIC retweeted
Phenotyping & sequencing 10,000 #Mycobacterium #tuberculosis genomes identifies previously uncatalogued genetic variants associated with resistance to 13 new & repurposed 2nd line & 1st line drugs #TB #AntiMicrobialResistance @crypticproject #PLOSBiology plos.io/3bUiOjj
CRyPTIC retweeted
Replying to @AliceBrankin
@AliceBrankin talking about fluoroquinolones in Hall K at 0854.
Part of a Cutting Edge in Mycobacterial Research session at #ECCMID
@ModMedMicro
@crypticproject
CRyPTIC retweeted
Check out ‘Under the Mask’, a film about people on the Thai-Myanmar border with #tuberculosis.
Directed by Saw Ler Wah and supported by @wellcometrust, MORU, SMRU and FilmAid.
bit.ly/3w5xSQF
CRyPTIC retweeted
My group has focussed on the genome analysis for CRyPTIC, and we are very happy to present this study on a new methodology developed by @martibartfast, with an application to the rifampicin resistance :
doi.org/10.1101/2021.09.15.4…
A thread (figure to tempt you - see below) 1/18
CRyPTIC retweeted
Really pleased to have got the first preprint from the @BashTheBug @the_zooniverse project up!
Here:
bit.ly/btb_paper
@crypticproject
@ModMedMicro
BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular ... biorxiv.org/cgi/content/shor… #biorxiv_micrbio
CRyPTIC retweeted
Epidemiological cutoff values for a 96-well broth microdilution plate for high throughput research antibiotic susceptibility testing of M. tuberculosis medrxiv.org/cgi/content/shor… #medRxiv
CRyPTIC retweeted
Current exhibition @kunstpalais
upcoming @museumboerhaave @cafaartinfo
#Beijing @KunsthalleTue temporarily closed @NationalCraft @edenproject + info on projects
@vertigo_starts @ICY15_Vienna @crypticproject @ARTDATAHEALTH1 @HCAILeeds @H2020_CHIC & more annadumitriu.co.uk/news/ – at Brighton, England
CRyPTIC retweeted
Evaluation of antibody testing for SARS-Cov-2 using ELISA and lateral flow immunoassays medrxiv.org/content/10.1101/…
CRyPTIC retweeted
Two Million Classifications!! Amazing well done!! bashthebug.net/2020/04/07/tw… via @BashTheBug #citizenscience #zooniverse @the_zooniverse
CRyPTIC retweeted
This is how your work on classifications has helped us fight antibiotic resistance and Tuberculosis!
bit.ly/3ae9XT6
@ModMedMicro @crypticproject @NDMOxford @OxfordBRC @the_zooniverse
CRyPTIC retweeted
Powerful antibiotic discovered using machine learning for first time theguardian.com/society/2020…
Interesting piece on Machine Learning and antibiotics
CRyPTIC retweeted
Check out how people have helped @crypticproject measure 1.3million+ MICs of TB.
#ECCMID2019
bit.ly/bashthebug
CRyPTIC retweeted
We hope that this @wellcometrust @acmedsci funded project will be one of many in which @nanopore sequencing can make a difference in the fight against TB
@StopTB xitter.cf/nanopore/status/983305…
For the next two weeks, we are working with the Institute Pasteur @pasteurMG to train scientists in Madagascar to ID/characterise TB and its drug resistance profile using @nanopore. In week 2 the teams will head out of the city (more challenging resources). #nanoporemadagascar
CRyPTIC retweeted
Validation of a 14-drug microtitre plate that includes delamanid and bedaquiline for susceptibility testing of M. tuberculosis biorxiv.org/cgi/content/shor… #biorxiv_micrbio
CRyPTIC retweeted
Automatically detecting growth of #tuberculosis using a python module: post bit.ly/2B1RFG4 and preprint doi.org/10.1101/229427
CRyPTIC retweeted
Fast automated detection of bacterial growth on 96 well plates
doi.org/10.1101/229427
@crypticproject @ModMedMicro @OxfordBRC


























