Method and system for association analysis of transcriptome and metabolome data

A technology of data association and analysis methods, applied in the field of transcriptomics and metabolomics, which can solve the problems of one-sided data and unreliability of data

Pending Publication Date: 2019-07-05
GUANGZHOU GENE DENOVO BIOTECH
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Problems solved by technology

[0004] In order to overcome the deficiencies in the above-mentioned prior art, the purpose of the present invention is to provide a transcriptome and metabolome data association analysis method and system to solve the one-sidedness and partial data unreliability of single-omics sequencing data

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  • Method and system for association analysis of transcriptome and metabolome data
  • Method and system for association analysis of transcriptome and metabolome data
  • Method and system for association analysis of transcriptome and metabolome data

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[0031] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0032] After analysis, it is found that based on the analysis of two-group (transcriptome and metabolome) data association analysis, better biological data analysis results can be obtained, which is more conducive to the research of mining mechanism principles. Through the multi-omics data association of metabolome and transcriptome The analysis method integrates and analyzes the time-series...

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Abstract

The invention discloses a method and a system for association analysis of transcriptome and metabolome data. The method comprises the following steps of S1, performing transcriptome sequencing on a sample, performing bioinformation analysis on the transcriptome data for obtaining a differential expression gene; S2, performing metabolome sequencing on the sample, and performing bioinformation analysis on the metabolome data for obtaining a differential metabolite; and S3, performing bioinformation analysis on the association characteristic based on the obtained differential expression gene andthe differential metabolite. The method and the system settle problems of one-sidedness of single omic sequencing data and low reliability of partial data in prior art. Furthermore, according to the method and the system, through information transmission, cooperation and coordination between biomolecules, a specific function is presented, thereby realizing more systematical multi-omics integratedanalysis and facilitating discloses of a complicated function mechanism.

Description

technical field [0001] The present invention relates to the technical fields of transcriptomics and metabolomics, in particular to a method and system for correlation analysis of transcriptomics and metabolomics data based on combination of biological information algorithms. Background technique [0002] The metabolome is an important part of systems biology and the final product of life activities. It directly reflects the impact of environmental changes or physiological and pathological changes on the body. Transcriptome sequencing can obtain a large number of differentially expressed genes and regulate metabolic pathways, but biological Transcription and metabolism in the system do not occur independently, and the data of a single omics sequencing is one-sided and some data are unreliable, which may not be able to fully describe the entire biological process. Moreover, due to the difficulty in the correlation between genes and phenotypes, it is difficult to determine the ...

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Application Information

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IPC IPC(8): G16B20/00G16B25/00
Inventor 夏昊强周煌凯高川张羽陶勇罗玥邢燕张秋雪
Owner GUANGZHOU GENE DENOVO BIOTECH
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