Integrated Multi-omics Analysis Solution
In traditional biological research, single-omics technologies (such as genomics or proteomics alone) have significant limitations. Like the parable of the blind men and the elephant, they can only observe from a single layer—be it genetic sequence, RNA expression, protein abundance, or metabolite accumulation. This fragmented view cannot fully reconstruct the complex panorama of life activities, let alone clarify the dynamic network of interactions between an organism and its environment.
Integrated multi-omics analysis is the next-generation systems biology research method born to solve this problem. It is not a mere stacking of techniques but involves the organic integration and correlation analysis of data from different molecular layers such as the genome, epigenome, transcriptome, proteome, and metabolome. By constructing cross-layer gene regulation and metabolic networks, it aims to systematically explore the regulatory relationships and causal links among various biological molecules. This leads to a more complete and profound understanding of an organism's core functions and physiological/pathological mechanisms, providing powerful data support for disease research, drug development, agricultural breeding, and more.
Our Services
We rely on advanced high-throughput sequencing and mass spectrometry technology platforms, combined with professional bioinformatics integration analysis pipelines, to provide you with a full-chain multi-omics service from project design to mechanistic interpretation.
Our core services include (but are not limited to):
Why Choose Us
Choosing us means partnering with a team dedicated to delivering deep mechanistic insights, not just data reports. With our professional bioinformatics team, we excel at using advanced pathway analysis and statistical models to weave multidimensional omics data into logical biological narratives. We provide highly flexible and customizable analysis plans to ensure our services precisely match your unique research goals and budget. From sample to conclusion, we implement strict quality control throughout the entire process, guaranteeing the solid reliability of your data. Ultimately, we translate complex data into clear scientific clues through expert biological interpretation and follow-up validation suggestions, directly accelerating your research breakthroughs and outcome translation.
Service Workflow
We communicate in-depth with you to clarify the core scientific question and research objectives, tailoring the most suitable integrated multi-omics analysis plan.
After confirming the plan details and signing the contract, we ask you to properly prepare and submit samples according to provided professional guidance.
Our experimental team performs standardized sample preparation, processing, and quality control to ensure high-quality, stable data output.
We utilize high-throughput sequencing and high-precision mass spectrometry platforms for detection, generating raw data for each omics layer.
Bioinformatics experts perform individual analysis for each omics layer and the core cross-omics correlation and integration analysis to mine deeper biological significance.
We generate a detailed analysis report with charts and data, accompanied by preliminary interpretation from our project scientists.
We deliver the complete report and provide subsequent technical support and results interpretation to advance your research project.
Considerations
- Define Your Scientific Hypothesis: Before project initiation, try to define your core scientific question as clearly as possible. This helps us design the most targeted omics combination and experimental plan for you.
- Prioritize Sample Quality: Samples are the source of data. Please strictly follow our professional guidance for sample collection, processing, and preservation to ensure sample integrity, consistency, and prevent degradation.
- Design Proper Controls and Replicates: Sound experimental design is a prerequisite for reliable statistical conclusions. Be sure to include sufficient biological replicates (typically recommended n≥3) and appropriate control groups.
- Communicate Background Information Early: Providing as much detailed sample background information (e.g., species, tissue type, treatment conditions) will greatly assist our analysis team in performing more precise, in-depth exploration.
If you have a preliminary research concept, please feel free to contact us anytime to discuss the optimal multi-omics research path.
