Multi-Omics Integration Analysis

With the widespread application of high-throughput technologies, multi-omics integration analysis has emerged. Researchers can obtain large-scale omics data from different molecular levels such as genomics, transcriptomics, proteomics, interactomics, epigenomics, metabolomics, lipidomics, and microbiomics. Multi-omics integrated data analysis has revolutionized biology and promoted a profound understanding of biological processes and molecular mechanisms. As high-throughput omics methods are used in the analysis of biological samples, data files ranging from terabytes to gigabytes are generated daily. Research is gradually moving from partial to comprehensive studies, which is an inevitable trend. Multi-omics integrated data analysis is not just about stitching data together; it is an in-depth study of biological explanations, providing new insights for basic biology and disease research.

 

Diagram of Multi-Omics Integration Analysis

Advantages of Multi-Omics Integration Analysis:
Single-omics analysis methods can provide information about the biological processes that differ between life processes or disease groups and normal groups. However, these analyses often have limitations. Multi-omics approaches integrate information from several omics levels, providing more evidence for biological mechanisms and deeply mining candidate key factors. By integrating information from different levels such as genes, mRNA, regulatory factors, proteins, and metabolites, gene regulatory networks can be constructed to deeply understand the regulation and causal relationships between various molecules, thereby gaining a deeper understanding of the molecular mechanisms and genetic basis of complex traits in biological processes and diseases.

Application Fields of Multi-Omics Integration Analysis:
Agriculture and Forestry:Research on growth and development, stress and non-stress mechanisms, crop breeding, conservation of rare species, research on medicinal plants, etc.;
Animal Husbandry:Research on growth and development, mining of functional genes for important economic traits in livestock and poultry, research on pathogenic mechanisms, exploration of transcription factors in pasture bio-slope and adversity, etc.;
Marine and Aquatic Products:Research on growth and development, biological evolution research, toxicology and seafood safety, etc.;
Biomedical Sciences:Biomarkers, mechanisms of disease, drug targets, disease classification, personalized treatment, etc.;
Microbiology:Pathogenic mechanisms, mechanisms of drug resistance, studies on pathogen-host interactions, etc.;
Environmental Science:Optimization of fermentation processes, biofuel production, environmental hazard risk assessment research, etc.;
Multi-Omics Integration Analysis Includes:
Transcriptomics and Proteomics Joint Analysis
Transcriptomics and Metabolomics Joint Analysis
Proteomics and Metabolomics Joint Analysis
Metabolomics and Microbiomics Joint Analysis
Transcriptomics and Lipidomics Joint Analysis
Proteomics and Lipidomics Joint Analysis
Joint Analysis of Transcriptomics, Proteomics, and Metabolomics

Related Services for Multi-Omics Integration Analysis:

Integration Analysis of Lipidomics and Proteomics
Integration Analysis of Transcriptomics and Metabolomics
Integration Analysis of Transcriptomics and Proteomics
Integration Analysis of Transcriptomics and Lipidomics
Integration Analysis of Metabolomics and 16S rDNA Sequencing
Integration Analysis of Proteomics and Metabolomics
Integration Analysis of Post-Translational Modification Proteomics and Metabolomics
Proteomics
Metabolomics
Lipidomics
Exosome Sequencing
Transcriptome Sequencing
16S/18S/ITS Amplicon Sequencing
16S/18S/ITS Full-Length Sequencing
Prokaryotic Transcriptome Sequencing
Eukaryotic Reference-Free Transcriptome Sequencing
Eukaryotic Reference-Based Transcriptome Sequencing
Metatranscriptome Sequencing