Single nucleotide polymorphism site identification method based on digestion library-establishing and sequencing and bayesian statistics

Abstract

The invention discloses a single nucleotide polymorphism (SNP) site identification method based on digestion library-establishing and sequencing and bayesian statistics. The method is used for processing RAD (restriction site associated deoxyribonucleic acid) sequencing data, searching candidate SNP on an RAD sequencing fragment, and identifying the SNP reliability by employing a bioinformatics analysis method based on bayesian statistics. The method can be used for model and non-model organisms to eliminate the limitation that lots of species are lack of reference sequences and reduce the sequencing cost, and can be used for solving the bottleneck that a reliable statistical method is absent in the process of performing SNP identification by utilizing the RAD data at present, so that the obtained SNP site accuracy is greatly improved.

Description

technical field [0001] The invention relates to a method for identifying single nucleotide polymorphism sites based on enzyme digestion library construction sequencing and Bayesian statistics. Specifically, a special Bayesian statistical test is performed on the single-nucleotide polymorphism (SNP) sites obtained by single-end sequencing or pair-end sequencing based on enzyme digestion library construction, so as to accurately A method for identifying SNP genotypes; can provide reliable statistical significance for SNP testing in the absence of a reference genome sequence. The method belongs to the technical field of bioinformatics. This is of great significance for the study of non-model organisms lacking reference sequences and the accuracy of genotype identification. Background technique [0002] SNP (Single Nucleotide Polymorphisms) single nucleotide polymorphism marker refers to the variation of a single nucleotide on the genome, and its number is large. There is one ...

AI Technical Summary

Problems solved by technology

This method has no statistical significance, and is greatly affected by other external factors, such as the total amount of sequencing, and the accuracy of the identified SNP genotype cannot be guaranteed

Literature [9] improves the identification method on the basis of the empirical threshold method, and uses the maximum likelihood method to correct the locus genotype, but the biggest problem is that the error rate in the statistical method cannot be determined

Images