1928 is a platform offering streamlined and high performing data analysis services in the cloud for secure and efficient analysis of bacterial DNA. In minutes, 1928 delivers fast and comprehensive results including:
The platform is a very easy-to-use software for the clinical laboratory offering resistance and virulence factor profiling and real time outbreak tracing.
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 1928 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.
1928 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 SCCmec are aslo performed on all uploaded sequences.
1928 offers diagnostic decision support of MRSA infections (1928DSA ). 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.
1928DSA () 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.
The 1928 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.
1928 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, 1928 also generates standard 7 gene multilocus sequence typing (MLST) and SCCmec.