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Multilevel omics integration analysis normalized, compared and correlated the batch data from different biomolecular levels, such as genome, transcriptome, proteome, metabolome and lipid, to establish the data relationship between molecules at different levels. Combined with GO function analysis, metabolic pathway enrichment, molecular interactions and other biological functions, the function and regulation mechanism of biomolecules are systematically and comprehensively analyzed.

Multilevel omics integration analysis normalized, compared and correlated the batch data from different biomolecular levels, such as genome, transcriptome, proteome, metabolome and lipid, to establish the data relationship between molecules at different levels. Combined with GO function analysis, metabolic pathway enrichment, molecular interactions and other biological functions, the function and regulation mechanism of biomolecules were systematically and comprehensively analyzed.

Creative Proteomics provides integrated metabolomic and other histological analysis services to assist in subsequent in-depth experimental analysis and applications by screening key metabolic pathways as well as proteins, genes, and lipid products.

Muti-omics Service

Multi-omics Integration Analysis Service

Integrative Metabolome and Microbiome Analysis

The study of microorganisms by 16S and metagenomic techniques, combined with metabolomic analysis, allows for a systematic study of microbial roles and functions.

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Integrative Metabolome and Proteomics Analysis

Analysis of differential protein bioinformation, analysis of differential metabolite bioinformation, analysis of metabolite-related enzymes, and metabolic pathway-based protein metabolism integration analysis.

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4D-Proteome and Metabolome Analysis

4D-DIA proteome combined with GC-MS and LC-MS technical services to screen key metabolic pathway-related proteins or metabolites and perform integration analysis.

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Integrative Metabolome and Transcriptome Analysis

A large number of differentially expressed genes are obtained from transcriptome and correlated with differential metabolites obtained from metabolome screening. Analyze metabolite-associated enzymes and differential genes, target key pathways with metabolite changes, and construct core regulatory networks.

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Metabolome Genome-Wide Association Study Service

Genotype data of population materials are obtained by second-generation sequencing technology, and genome-wide association analysis of metabolites is carried out by combining metabolome data to locate candidate genes related to the control of metabolic phenotypes and to explore the mechanisms of related metabolic pathways.

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Integrative Metabolome and LncRNA Analysis

LncRNA sequencing is used to obtain a large number of differentially expressed LncRNAs for association analysis with the differential metabolites obtained from metabolome analysis. We analyze the regulatory genes as well as the expressed gene changes, target the key pathways with metabolite changes, and construct the core regulatory network.

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If you want to know more, please contact us. Looking forward to cooperating with you.

Reference

  1. Jendoubi, T. (2021). Approaches to integrating metabolomics and multi-omics data: a primer. Metabolites, 11(3), 184.
For Research Use Only. Not for use in diagnostic procedures.

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