Clinical Applications

A new perspective for the detection of complex DNA anomalies implicated in genetic diseases and cancer

Genomic Vision’s technology fulfills unmet research and diagnostic needs by enabling the identification of large DNA rearrangements that are often hidden to conventional methods

The Genomic Morse Code sets are designed to identify and characterize known and undiscovered genomic variations, which enables a comprehensive diagnosis and study of certain genetic diseases. With a resolution ranging from 4kb to 1Mb, the technology provides a panoramic view and a direct read-out of patient DNA with straightforward and unambiguous results.


Helping the screening and monitoring of rare and underdiagnosed genetic diseases

Our technology has been successfully used to detect standard and complex structural variations in genetic disorders, such as Muscular Dystrophy. Genomic Vision’s diagnostic test for Muscular Dystrophy facilitates the clear and precise identification of the FSHD-specific repeat within its specific genomic environment.

 Learn more about applications for
Muscular Dystrophy 

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Clinical Research

A unique detection strategy to identify large DNA modifications underlying various hereditary cancers

Genomic Vision’s single molecule approach and Genomic Morse Code sets facilitate the detection and studies of large DNA rearrangements resulting in carcinogenesis. As such, the technology is a well-adapted solution for clinical research and biomarker discovery in the oncology field.  

 Learn more about applications for
Hereditary Breast and Ovarian Cancer
Colorectal Cancer (Lynch Syndrome)

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Our single molecule DNA analysis approach is able to detect all types of large rearrangements and identify new biomarkers essential in understanding genetic diseases

 Full length visualization and analysis of genes, detection of any type of large rearrangement

 Detection of unreported genomic large anomalies, without prior knowledge of the size, position or type of mutation

 Analysis of hard-to-sequence regions – repeated sequences and balanced rearrangements

 Detection of genetic modifications in their context – phasing and haplotyping

 Precise counting of copy number variations

 Detection of low frequency variants and mosaicism

 Allelic discrimination