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Multi-omics for comprehensive analysis (CAT#: STEM-MB-0101-WXH)

Introduction

"Multi-omics" is relative to single-omics such as genome, proteome, metabolome, lipidome, glycome and transcriptome, etc. "Omics" is to study the laws of life activities of the body from an overall perspective, and "multi-omics" is to combine two or more single omics for comprehensive and comprehensive analysis. Multi-omics conducts joint analysis of different omics data, constructs a body regulatory network, and deeply understands the regulation and causal relationship between various molecules.<br />Commonly used multi-omics integration analysis includes transcriptome and proteome, transcriptome and metabolome, transcriptome and lipidome joint analysis, proteome and metabolome, proteome and lipidome joint analysis, metabolome and microbiome joint analysis Analysis and joint analysis of transcriptome, proteome, metabolome, etc.




Applications

• Agriculture and forestry: research on growth and development, stress and non-stress mechanisms, crop breeding, research on protection of rare species, research on medicinal plants, etc.;
• Animal husbandry: research on growth and development, excavation of functional genes for important economic traits of livestock and poultry, research on pathogenic mechanisms, excavation of forage biological slopes and stress transcription factors, etc.
• Marine aquatic products: growth and development research, biological evolution research, toxicology and aquatic product safety, etc.;
• Biomedicine: biomarkers, disease mechanisms, drug targets, disease typing, personalized treatment, etc.;
• Microorganisms: pathogenic mechanism, drug resistance mechanism, pathogen-host interaction research, etc.;
• Environmental science: fermentation process optimization, biofuel production, environmental risk assessment research, etc.;

Procedure

1. Scheme design
2. Sample Preparation
3. Experimental detection
4. Biological information analysis

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