Whole genome association analysis method, system and electronic equipment

Abstract

The invention belongs to the field of gene data processing technology, and particularly relates to a whole genome association analysis method, a system and electronic equipment. The whole genome association analysis method comprises the steps of a, performing SNP site determining on original sequencing data of a sample, and obtaining SNP site information of the sample; b, establishing a coordinateaxis based on reference genome SNP information, and performing characteristic extraction on the SNP site information of the sample according to the coordinate axis based on the reference genome SNP information, and obtaining a characteristic vector of the sample; and c, clustering the characteristic vectors of the sample, obtaining the representative vectors of the sample, and combining the representative characteristic vectors for obtaining a non-redundancy sample. According to the method, through clustering the original data, characteristic expression of the sample is performed, and important characteristics are found, thereby reducing data computing amount; according to the similarity between the samples, the samples with high similarity are combined, and the rest samples are removed,thereby greatly reducing a memory requirement and improving efficiency.

Description

technical field [0001] The present application belongs to the technical field of gene data processing, and in particular relates to a whole genome association analysis method, system and electronic equipment. Background technique [0002] Genome-Wide Association Studies (GWAS) was first proposed in 2005, based on SNP (Single Nucleotide Polymorphism) sequencing technology. In the past ten years, with the rapid development of SNP sequencing technology, the whole genome Association analysis has gradually played an increasingly important role in important economic traits of species, plant breeding, genetic improvement, especially in the analysis of complex human diseases. The purpose of genome-wide association analysis is to find susceptibility locus variants associated with phenotypes across the genome. In recent years, a large number of genes and their interaction detection algorithms have emerged in the field of genome-wide association analysis. Although these algorithms hav...

AI Technical Summary

Problems solved by technology

At present, the general computer memory is about 2G, which is far from enough to meet the data part of the genome-wide association analysis.

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