Method and device for correcting high-flux sequencing data

Abstract

The invention discloses a method and a device for correcting high-flux sequencing data. The method comprises the steps of comparing read pair or read data which are obtained through sequencing with areference genome; classifying the read pair or read with the same starting point and terminal point positions as one Ai subset; comparing each base sequence of the read pair or read in each subset ata genome comparing position, eliminating repetitions and false positive mutation sites according to a preset mutation threshold; and finally outputting consistent data with high coverage range, wherein only the corrected single read pair or read is reserved in each subset. The method according to the invention can eliminate a large number of repetitions and false positive mutations generated in database establishing, hybridization capturing and PCR in high-flux sequencing. The method is suitable for high-depth sequencing with easy false positive mutation generation in eliminated cancer tissuemutation detection, liquid biopsy and the like. The method lays a basis for improving detecting quality and efficiency.

Description

technical field [0001] The present application relates to the field of high-throughput sequencing data correction, in particular to a method and device for correcting high-throughput sequencing data. Background technique [0002] With the development of next-generation sequencing technology, high-depth sequencing has become more and more widely used in the fields of tumor mutation detection and liquid biopsy. In particular, mutation detection based on free peripheral blood DNA (cfDNA for short) has become an important auxiliary means for early cancer screening and clinical treatment of cancer. Although, as the tumor progresses, the content of free tumor DNA (abbreviated ctDNA) in the peripheral blood of cancer patients increases significantly, but the proportion of ctDNA content in most patients is between 0.5-5%. A large number of errors will be introduced during the sequencing process, making it still extremely difficult to detect tumor-derived somatic mutations. [0003...

AI Technical Summary

Problems solved by technology

[0005] However, as mentioned earlier, the content of ctDNA is low, and PCR amplification enrichment is required to build a library. This process will introduce a large number of PCR repetitions and false positives, which will affect the accuracy and repeatability of the test results.

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