Bioinformatics analysis of metabolic flux can not only visualize the overall direction of metabolic flux in many cases, but also reveal the activity of each metabolic reaction in cells accurately and quantitatively through calculation, as well as deeply understand many complex intracellular metabolic processes such as parallel reactions and reversible reactions, and visually reveal the main active pathways in cells and the relative contribution of each pathway and its distribution change characteristics. Therefore, a diversity of bioinformatics analysis methods play important roles in the identification of early diagnostic markers and key metabolic pathways for the development of related diseases, and scientists have developed many tools to reveal their mutual regulation. As one of most commonly used tools, Bi-plot analysis provides a strong scientific basis for early clinical diagnosis, drug target therapy and prognosis of diseases. By performing Bi-plot analysis on all data of metabolic flux, scientists can observe the overall metabolic differences between groups of samples and the magnitude of variability between samples within groups in general, and then can study the relationship between samples and metabolites.
Information of Bi-plot analysis
- Distances between the observations and also the inner products between observations and variables
- Relationships between the variables and the inner products between observations and variables
- Distances between observations and also the relationship between variables
Our Services
Creative Proteomics has developed a novel metabolic flux analysis platform to provide Bi-plot analysis service in a competitive fashion. We can offer a wide range of services to support all research and development activities.
- We utilize advanced software to perform the Unit Variance Scaling and Mean-Centered data processing to obtain reliable and more intuitive results
- Our scientists observe the overall metabolic differences between groups of samples and the magnitude of variation between samples within groups
- The relationship between samples and metabolites can be thoroughly studied
An example of our Bi-plot analysis
- Contributions of profiled metabolites are superimposed over scores for each serum sample
- The direction and magnitude of the loadings vectors visually demonstrate how each metabolite contributes to sample clustering by timepoint
- The larger dots represent the centroids of the ellipses calculated for each timepoint
Features of Our MFA Platform
- Developed based on the most updated knowledge of biology, bioinformatics and software development
- Widely applicable to a wide range of metabolic system
- Professional bioinformatics teams & personalized bioinformatics analysis services.
- Advanced instrument platform
- Integrated quantitative methodologies and comprehensive solutions for metabolomics
Based on high-performance quantitative techniques and advanced equipment, Creative Proteomics has constantly updating our metabolic flux analysis platform and is committed to offering professional, rapid and high-quality services of Bi-plot analysis at competitive prices for global customers. Our personalized and comprehensive services can satisfy any innovative scientific study demands, please contact our specialists to discuss your specific needs. We are looking forward to cooperating with you!
