Integrating method of multiple kinds of biological sequence notes

Abstract

The invention discloses an integrating method of multiple kinds of biological sequence notes. The method comprises the steps of extracting one kind of biological sequencing data from biological sequencing data as a main biological sequence set, and using the rest biological sequencing data as an auxiliary biological sequence set; establishing a sequence-gene association mapping set; acquiring a basic association area and an extended association area of the gene according to a gene transcription starting point; for the sequence of the main biological sequence set, performing traversal on the extended association area of the gene, and if the area with the sequence is intersected with the extended association area of a certain gene, establishing a sequence-gene association mapping between thegene and the sequence; applying reference data on a biological sequence noting result in the sequence-gene association mapping set and calculating the significance by means of ultra-geometric testingand binomial testing; respectively sequencing the notes which are obtained by the two methods, adding the sequence numbers of the same notes, performing sequencing again and using the sequencing result as a note result of multiple kinds of biological sequence data. The integrating method realizes noting of various characteristics and has application value in the medical field.

Description

technical field

[0001] The present invention relates to the field of biotechnology, in particular, to an integration method for multiple types of biological sequence annotations. Background technique

[0002] Gene sequencing is a new type of genetic testing technology that can analyze and determine the full sequence of genes from blood or saliva. With the development of biomedical technology, in the field of precision medicine, the technology of analyzing patients through sequencing and other methods to achieve precise treatment has also become more and more perfect. However, due to the lack of a unified standard for many sequencing methods on the market, their target sites and data distribution characteristics are very different, which also restricts the further development of the field of precise diagnosis. In response to this problem, it is an effective solution to try to integrate multiple types of data and annotate the functions and characteristics of various sequenced...

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