A method, device and storage medium for assembling genome based on genetic population

Abstract

The invention provides a method, a device and a storage medium for assembling a genome based on a genetic population. The method includes: importing genome information to be improved in quality, and genomic genetic information and genetic map information of parents and offspring of a hybrid population; Type division, obtain the first group where the sequence is located on the chromosome and the second group where the sequence is not located on the chromosome, establish the first algorithm model and the second algorithm model, and obtain the position information of the second group on the corresponding chromosome through the model , based on all the location information to get the quality-improved genomic information. The invention obtains the chromosome information corresponding to the abnormally located genome through the established first algorithm model, and predicts the genetic distance between the genome information and the corresponding chromosome through the established second algorithm model, thereby determining the position on the chromosome corresponding to the genome information, and realizes the All genomes are aligned to chromosomes and localization is completed.

Description

technical field [0001] The invention mainly relates to the technical field of gene data processing, and in particular relates to a method, a device and a storage medium for assembling a genome based on a genetic population. Background technique [0002] Genome assembly refers to the process of using different sequencing methods to sequence the whole genome of the species to be tested, and splicing the obtained data to obtain the whole genome sequence located on the chromosome. The first is to generate sequence fragment reads by sequencing, and splicing the fragments according to the overlapping regions between the reads to form a longer continuous sequence, called contigs, and then splicing the contigs into a longer sequence, called scaffolds, to locate these scaffolds onto the chromosome, thereby obtaining a high-quality whole genome sequence, called chromosome mounting, and finally obtaining a usable version of the genome. [0003] At present, the third-generation whole g...

AI Technical Summary

Problems solved by technology

However, in the assembly process, due to the complex materials and unsatisfactory data output, there are still some contigs that cannot be effectively hung on the chromosome. The final genome will be composed of three parts: the first part is to locate on the chromosome The genome on the chromosome, that is, the sequence that is mounted on the chromosome and completed the positioning, and the second part is the genome that is not mapped to the chromosome, that is, the sequence that can be compared to the chromosome but cannot be positioned and the sequence that cannot be compared to the chromosome

There is currently no relevant solution for the latter two parts of the sequence

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