Bioinformatics Analysis of Proteomics
With the development of proteomics mass spectrometry analysis technology, the accuracy of proteomics analysis instruments continues to improve, and more data can be obtained from this. Although detailed protein data information is conducive to more in-depth research on proteomics, the large amount of protein sample data generated by high-throughput proteomics detection also brings upgrade challenges to protein sample feature analysis. Relying on manual processing of such huge mass spectrometry information, it is extremely difficult to analyze the characteristics of proteins. Therefore, these proteomics data need to be analyzed and processed by professional bioinformatics methods.
Overall solutions
- CD ComputaBio bioinformatics analysts specialize in proteomics data knowledge mining, especially the analysis of biological pathways and networks, and quickly discover a large amount of protein interaction data.
- Based on the research progress of bioinformatics analysis methods, CD ComputaBio has established a proteomic data bioinformatics analysis platform to provide a complete set of bioinformatics solutions.
- CD ComputaBio can provide services including: quality analysis of omics data, differential expression analysis of omics data, analysis of differentially expressed proteins GO, KEGG, COG annotation, protein clustering analysis, interaction network and other multi-level network and pathway analysis.
- CD ComputaBio can provide customized bioinformatics analysis services according to customer requirements and references, discover biological knowledge from high-throughput experimental data, and help customers with drug design, toxicity analysis and disease marker discovery.
Our services
| Project name |
Bioinformatics analysis of proteomics |
| Our services |
- Proteomics data quality assessment
Proteomics mass spectrometry data is the foundation of proteomics analysis. The quality of mass spectra is closely related to the accuracy of search analysis results. Therefore, it is particularly important for the quality evaluation of proteomics data.
- Statistical analysis of differentially expressed proteins
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.
- Cluster analysis of differentially expressed proteins
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.
- Protein interaction network analysis
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| Sample requirements |
Our Bioinformatics Analysis of Proteomics service requires you to provide specific requirements. |
| Screening cycle |
Decide according to your needs. |
| Deliverables |
We provide you with raw data and analysis service. |
| Price |
Inquiry |
CD ComputaBio' bioinformatics analysis of proteomics service can significantly reduce the cost and labor of the subsequent experiments. Bioinformatics analysis of proteomics service 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.
* For Research Use Only.
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