1928D is an online platform that provides you with a powerful bioinformatic analysis of your whole genome sequencing data enabling decision support for infectious diseases.

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1928D offers an all-in-one Software-as-a-Service delivering:

  • Prediction of antibiotic resistance
  • Identification of virulence factors
  • Typing and identification of outbreaks
A screen shot in the 1928D platform, showing the sample index view with a table containing all samples and information about them.
A screen shot in the 1928D platform, showing the page where you can selecet and upload samples and see the progress of the upload.


The analysis runs with minimized hands-on effort and there is a strong focus on user-friendly and efficient result visualization.

Infection control

1928D enables comprehensive and in depth outbreak tracing from your sequencing data providing strong infection control which ultimately prevents outbreaks. By using our clustering function based on cgMLST methodology, high resolution comparisons are made of different isolates. The results are visualised in an easy to interpret phenotypic tree. The traditional typing methods MLST and scc mec are aslo performed on all uploaded sequences.


1928D offers decision support for clinical diagnostics of MRSA infections (1928DSA CE-marked diagnostics). An antibiotic resistance profile is generated for each uploaded sequence file by matching to our proprietary, manually curated, databases. The result has a very high precision in predicting resistance and can be used to guide treatment.

Antibiotic Resistance

How antibiotic resistance occurs in five stages.
                      First stage: We have a population of bacteria.
                      Second stage: During division some bacteria undergoes a mutation in its DNA resulting in an antibiotic resistance.
                      Third stage: Antibiotic is added and kills all sensitive bacteria.
                      Fourth stage: Only resistant bacteria have survived.
                      Fifth stage: The resistant bacteria now divides and forms a population.

Antibiotic resistance is one of the most serious threats to human health in modern times. The world is about to enter a post antibiotic era where minor infections will be lethal. Better diagnostic methods are needed to treat patients more efficiently and diminish the spread of antibiotic resistant bacteria.

How does it work?

1928D analyzes raw data from whole genome sequencing machines and matches the processed data to the proprietary databases that have been manually curated containing only clinically relevant genetic markers. The result in the form of a resistance and typing profile is delivered to the client in minutes.


Raw data generated by a sequencing machine is uploaded to our cloud based web-service.

Data analyzed

The data is analyzed and matched against our database of resistance and typing patterns.


The result is delivered back and can be used as a decision support for antibiotic treatment of the infected patient.

Why are we the best at solving this?

1928 Diagnostics is a growing team of bioinformaticians, software developers, microbiologists and molecular biologists dedicated to enable and optimize the use of the powerful WGS technology to improve infection diagnostics worldwide. By developing products in close contact and collaboration with end users we build easy-to-use and highly powerful bioinformatic analysis tools that fill present and future needs of infection diagnostics.

We are hiring

Do you want to participate in the fight against antibiotic resistant bacteria? Join our dynamic development team and make a difference!

Click here to go to the jobs page.