1928D is a platform offering streamlined and high performing data analysis services in the cloud for secure and efficient analysis of bacterial DNA. In minutes, 1928D delivers fast and comprehensive results including:

  • Antibiotic resistance profiling
  • Virulence factor detection
  • Epidemiologic typing

The platform is a very easy-to-use decision support software for the clinical laboratory offering precision diagnostics and real time outbreak tracing.

Whole genome sequencing and infectious disease

During the last decade, whole genome sequencing (WGS), has revolutionized biology. The incredibly fast decline in price per sequenced genome, combined with the increase in technology performance, has made WGS a viable tool for research and medicine. Fast and efficient data analysis is a prerequisite to be able to use WGS to its full potential, especially in the clinical setting. The 1928D platform addresses this problem by automatically generating resistance profiles and identifying type of bacteria (genetic fingerprint). The genetic fingerprint enables high precision outbreak tracing, leading to improved surveillance by detecting contamination and transmission of pathogens.

1928DSA - full control of MRSA

1928DSA (CE-marked diagnostics) is a high quality product for analysis of Staphylococcus aureus. Methicillin resistant Staphylococcus aureus (MRSA) is the most common cause of hospital acquired infections (HAI) causing thousands of deaths in hospitals worldwide. By extensive resistance profiling and early detection of outbreaks the rates of HAI can be reduced, thereby saving lives and extensive costs for the health care system.


Antibiotic resistance profiling and
virulence factor detection

The 1928D platform contains well validated and specially adapted algorithms that processes the raw data file from the sequencing machine. By optimising data handling processes in the cloud the 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 platform in an informative format and can also be exported.

Epidemiologic typing

1928D 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.

To be able to compare with historical data which has not been uploaded, 1928D also generates standard 7 gene multilocus sequence typing (MLST) and SCCmec.