The goal of comparative proteomics is to systematically compare the changes in the proteome between biological samples due to diseases, artificial processing or the influence of external environmental factors. This kind of research is an effective way for us to understand the dynamic changes of the proteome from a macro perspective. It is widely used in the research of finding disease-specific protein markers and drug targets. Protein difference analysis can greatly promote the discovery of new biomarkers and improve the accuracy of biomarker identification, which is of great value for clinical disease analysis. CD ComputaBio can provide more accurate protein difference analysis based on statistical data to find significant differences in protein level performance under different physiological conditions and in different tissues.
In order to test the rationality and accuracy of the selected differentially expressed proteins or characteristic differentially expressed proteins, clustering analysis can be used to aggregate the proteins according to the trend of expression amount, which can realize more intuitive proteomics data analysis.
CD ComputaBio performs hierarchical cluster analysis on selected differentially expressed proteins, and clusters the proteins with the same or similar expression patterns.
In order to study protein expression patterns under different experimental treatments, K-means cluster analysis was performed on the expression levels of samples. The same type of protein has similar changing trends under different experimental treatments, and proteins with similar changing trends often have similar functions.
|Project name||Cluster analysis of differentially expressed proteins|
|Sample requirements||Our cluster analysis of differentially expressed proteins requires you to provide specific requirements.|
|Screening cycle||Decide according to your needs.|
|Deliverables||We provide you with raw data and analysis service.|
CD ComputaBio' cluster analysis of differentially expressed proteins can significantly reduce the cost and labor of the subsequent experiments. Cluster analysis of differentially expressed proteins is a personalized and customized innovative scientific research service. Each project needs to be evaluated before the corresponding analysis plan and price can be determined. If you want to know more about service prices or technical details, please feel free to contact us.