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Multi-omics integration analysis has emerged with the widespread application of high-throughput technologies. It allows researchers to obtain large-scale omics data from different molecular levels such as the genome, transcriptome, proteome, interaction group, epigenome, metabolome, liposome, and microbiome. Multi-omics integrated data analysis has revolutionized many fields related to biology, advancing our deep understanding of biological processes and molecular mechanisms. With the application of high-throughput omics method in the analysis of biological samples, the research on the level has gradually become systematic, from partial to integral. Multi-omics integrated data analysis is not only a data splicing, but also an in-depth study of biological interpretation, from basic biology to many applied fields including pathology, agriculture, environmental ecology.
A single omics analysis method can provide information about biological processes that differ in different life processes or disease groups compared to normal groups. However, these analyses often have limitations. The multi-omics approach integrates information at several omics levels, provides more evidence for biological mechanisms, and explores candidate key factors at a deep level. By integrating information from different levels: genes, mRNA, regulatory factors, proteins, metabolism, etc., gene regulatory network is constructed to deeply understand the regulation and causality between various molecules, so as to have a deeper understanding of the molecular mechanism and genetic basis of complex traits in biological processes and disease processes.
Agriculture and forestry: It mainly involves growth and development research, stress and non-stress mechanisms, crop breeding, rare species protection research, medicinal plant research, etc.
Animal husbandry: It mainly involves functional genes mining of important economic traits of livestock and poultry, pathogenic mechanism research, grass slope and stress transcription factors mining, etc.
Marine aquatic products: It mainly involves growth and development studies, biological evolution studies, toxicology and aquatic product safety;
Biomedicine: It mainly involves biomarkers, disease mechanisms, drug targets, disease typing, personalized therapy, etc.
Microbiology: It mainly involves pathogenic mechanism, drug resistance mechanism, pathogen-host interaction, etc.
Environmental science: It mainly involves fermentation process optimization, biofuel production, environmental hazard risk assessment research.
At CD Formulation, we offer the following services to accelerate your research.
Integrative genomics and transcriptome analysis
We can help you explore the the link between transcriptomics and genomics.
Integrative proteomics and transcriptomics analysis
At CD Formulation, the transcriptomics and proteomics are integrated to combine the expression abundance of mRNA and protein, and the expression level of key genes can be comprehensively measured according to the transcriptome level and the correlation and difference of protein level, so as to comprehensively explore the disease mechanism and stress mechanism of organisms.
Integrative metabolomics and transcriptomics analysis
Our analysis of transcriptomics + metabolomics can simultaneously explore biological problems from both the "cause" and "effect" levels, verify each other, screen out key genes, metabolites and metabolic pathways from massive data, deeply analyze the macro development process of biological systems, and explain the complexity and integrity of biological processes.
Integrative metabolomics and proteomics analysis
Through our integrative analysis of proteomics and metabolomics, biological regulatory mechanisms can be explored from the protein level and metabolic level at the same time. Compared with single-omics analysis, it can reveal the life activity process more systematically and comprehensively, and has strong guiding value for the understanding of gene function, the influence on phenotype, and the establishment and clinical application of molecular mechanism models in the later stage.
Integrative metabolomics and microbiomics analysis
Our integrative metabolomics and microbiomics analysis can help you reveal the correlation between microbiota and metabolites, and screen for key strains with differences.
CD Formulation powers the future of your research and production pipelines with a trusted, scalable, and high-performance data analysis solution. We can help you achieve your goals. Start the process with a brief scientific consultation to determine how we can help.