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Epidemiology

See the Differences At A Glance

Time and accuracy are important for managing disease outbreaks and hospital acquired infections (HAI), to make decisions that can stop the spread of disease. OpGen’s Whole Genome Maps can quickly discriminate between closely related strains, providing accurate and actionable information. Unlike traditional technologies, Whole Genome Maps can be directly correlated to sequence data—so markers for increased virulence and drug resistance can be detected early and used to more accurately understand these infections.

Because the maps survey thousands of locations distributed across the entire genome, more accurate structural detail is available for each strain. Whole Genome Maps are also better in capturing the insertions and genomic rearrangements that result from horizontal gene transfers; changes that are more likely to differentiate strains. And unlike pulsed-field gel electrophoresis (PFGE), Whole Genome Maps are fast, highly reproducible and relate directly to the sequence. Analyze and compare Whole Genome Maps in 24 hours to provide actionable results in an ongoing outbreak.

Map-based similarity clustering

Map-based similarity clustering accurately distinguishes strains and describes relatedness between isolates.

ALIGN: Quickly and easily track microbial contaminants and characterize outbreak strains—generate a Whole Genome Map on the reference strain and align with maps from field isolates, even with previously unsequenced or unculturable organisms.

COMPARE: With a Whole Genome Map, strain typing is fast and accurate—differences between microbial strains are easy to see, enabling health professionals to launch a rapid and confident response.

CONFIRM: OpGen’s Whole Genome Maps enable researchers to link microbial contaminants to their source and confirm outbreak strains.

 

Whole Genome Maps

Whole Genome Maps compare related Klebsiella pneumoniae isolates to quickly reveal differences (white) and similarities (blue).