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    Home > Medical News > Medical Research Articles > Successful development of gene fusion detection algorithm to promote the development of new antitumor drugs

    Successful development of gene fusion detection algorithm to promote the development of new antitumor drugs

    • Last Update: 2020-04-03
    • Source: Internet
    • Author: User
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    A gene fusion detection algorithm, soapfuse, has been successfully developed in Shenzhen Huada This algorithm improves the detection efficiency of gene fusion, promotes the research of diseases, especially tumors, and is of great significance to clinical molecular typing and the development of new tumor drugs Shenzhen Huada gene 26 introduced to the media that the algorithm has the advantages of high accuracy, strong sensitivity, high accuracy and low resource consumption The local exhaustive algorithm and a series of fine filtering strategies are used to detect gene fusion quickly and accurately Gene fusion refers to the phenomenon that two heterotopic genes on chromosome chime together to form a chimeric gene This phenomenon is usually caused by chromosome translocation, deletion or inversion They play an important role in the occurrence of cancer and can be used as a target for diagnosis and treatment of cancer Bcr-abl gene fusion is the most classical in chronic myeloid leukemia With the in-depth study of gene fusion, researchers found that in addition to blood system tumors, there is also a phenomenon of gene fusion in solid tumors The traditional methods of gene fusion have the disadvantages of low flux, complex operation and inconvenient for large-scale sample screening The new algorithm, soapfuse, first looks for candidate gene fusion by comparing the sequence of pairend relationship in genome and transcripts, then uses local exhaustive algorithm and a series of fine filtering strategies to filter out the false-positive gene fusion while keeping the real fusion as much as possible Compared with other methods, soapfuse has higher sensitivity and specificity, and can greatly reduce resource consumption In addition, the algorithm has the function of fusion breakpoint prediction and visualization.
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