Cloud service platform for microbial analysis
1928 is a cloud-based service that analyzes resistance markers in bacteria from whole genome sequences (WGS). Our technology searches for resistance markers within the bacteria and performs relational analysis between samples.
From raw reads to result in minutes
You start by uploading the sample to our cloud-based platform and the analysis starts automatically. Your NGS raw data is transcribed to results, providing an understanding of both what is unique in the sample and the overall picture in between samples.
Several hospitals in Europe and the USA are already now getting value out of the 1928 service. So, if you are starting to do WGS, we will be happy to provide the analysis for you.Read full article
|Species||cgMLST||MLST||Other typing schemes||Markers of special interest||Antibiotic classes|
|S. aureus||●||●||SCCmec||TSST-1, PVL, ETs||13|
|E. coli||●||●||phylogroup, fimH||ESBL, CRE, H30-Rx, stx1, stx2||25+|
|K. pneumoniae||●||●||ESBL, CRE||25+|
1928 enables comprehensive and in-depth outbreak tracing from your sequencing data providing strong infection control which ultimately prevents outbreaks. By clustering on cgMLST differences, high resolution comparisons are made of different isolates. The results are visualised in an easy-to-interpret phylogenetic tree.
The source of hospital-acquired infections is really us, the people
The patients, the hospital staff – we all carry bacteria. And people need to know about the dangers and how to behave to prevent spreading infections. To be proactive in your infection control, irrespective of what healthcare system you are working in, you have to make sure that the entire chain of events is carefully planned and organized.
Everyone can support the fight against antibiotic resistance
It is one of those situations where we all have responsibility. It is a bit like the climate catastrophe, everyone has to do their part. The individual part may seem small but if we do not combine all the small parts, we will not succeed.Read full article
The 1928 service contains well-validated and specially adapted algorithms that process the raw data file from the sequencing machine. By optimising data handling processes in the cloud, our calculations are always efficient and fast due to optimised workflows and use of distributed systems. The processed data is matched to our databases of genetic markers (genes and mutations) coding for antibiotic resistance or virulence factors. The database entries are collected from peer reviewed scientific journals and comprise clinically relevant markers that are carefully selected and manually curated. The result is delivered on the 1928 platform in an informative format and can also be exported.
The 1928 platform uses core genome multilocus sequence typing (cgMLST) for outbreak tracing. This method is robust and enables strong comparability between sample sets. We generate our own cgMLST schemes which consists of conserved genes that can be used to generate a "bacterial fingerprint". By visualising the number of identical genes found in phylogenetic trees, large sample sets can be compared and groups of closely related samples can be identified as outbreaks. The method also allows for new samples to be compared to historical data previously uploaded.