Oxford Gene Technology (OGT) is at the forefront of hybridization technology, specializing in next-generation sequencing (NGS) solutions for clinical research and diagnostics. Their innovative SureSeq Myeloid Fusion NGS Panel is designed to detect multiple fusion genes associated with myeloid cancers, such as acute myeloid leukaemia (AML) and acute lymphoblastic leukaemia (ALL). This panel, developed in collaboration with myeloid cancer experts, allows for the identification of both common and novel fusion partners, providing a more comprehensive analysis than traditional PCR methods. The technology supports the detection of gene expression changes, such as MECOM overexpression, and is optimized for high sensitivity and accuracy, making it a valuable tool for researchers in the field of haematology.

In addition to the SureSeq Myeloid Fusion Panel, OGT offers a range of NGS products tailored for both haematological and solid tumor cancers. Their portfolio includes customizable NGS panels that can be adapted to specific research needs, as well as library preparation kits that enhance the accuracy of genetic aberration detection. The hybridization-based enrichment approach used in their panels ensures high coverage and uniformity, enabling the detection of low-frequency variants and structural aberrations. OGT's comprehensive solutions are complemented by their Interpret NGS Analysis Software, which facilitates the analysis and visualization of complex genomic data, thereby streamlining the research process and improving the understanding of genetic disorders.

United Kingdom

As a leading global provider of diagnostic genomic solutions, our goal is to enable researchers and clinical decision makers to reach the right decisions for each patient, every time. 

The quality and innovation built into our products for NGS, arrays and FISH reflects our commitment to improving the future of genetic clinical care. 

We offer partnership and collaboration to our customers at every stage of their work.

Oxford Gene Technology

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