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Integrated Analysis of Transcriptomics and Metabolomics

Product Introduction

Transcriptomics serves as a powerful tool for functional genomics research, enabling the identification of numerous differentially expressed genes and regulatory networks through transcriptome sequencing; however, it struggles to pinpoint critical pathways. Metabolomics directly reflects phenotypic manifestations, with metabolomic data illustrating phenotypic variations, but it fails to elucidate the underlying genetic mechanisms affecting these phenotypes. Integrative analysis of transcriptomics and metabolomics allows for comprehensive research at multiple levels within an organism, with the data from each omics layer serving to validate the other, thus providing a holistic and systematic understanding of complex biological processes.
Standard workflows in transcriptomics yield results such as differentially expressed genes, while metabolomics provides insights into differential metabolites and enriched metabolic pathways. Joint analysis of these differentially expressed genes and metabolites, coupled with the calculation of their correlations and the construction of correlation networks, can identify key genes responsible for changes in metabolites and determine critical regulatory pathways.Common components of integrated analysis typically include correlation analysis, KEGG pathway analysis, and KEGG enrichment analysis.

Advantages of Integrated Analysis

Analyzing expression levels across multiple layers compensates for missing data and noise in single-omics data.
It explores biological problems from both cause and effect, enhancing mutual validation and reducing false positives.
It elucidates the correlation between molecular regulation and phenotype, providing a systematic analysis of biomolecular functions and regulatory mechanisms.
It filters true signals from large datasets, identifying key metabolic pathways, genes, and metabolites for further experimental analysis and application.

Analysis process

Presentation of Analysis Results

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