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Proteomics Bioinformatics Analysis

With the development of mass spectrometry technology in proteomics, the precision of proteomic analysis instruments has been continuously improving, resulting in more data. Although detailed protein data information facilitates more in-depth research in proteomics, the vast amount of protein sample data generated by high-throughput proteomics testing also presents upgraded challenges for protein sample characteristic analysis. Relying on manual processing of such massive mass spectrometry information makes it extremely difficult to analyze the characteristics of proteins. Therefore, these proteomic data require analysis and processing using specialized bioinformatics methods. Biotech Co., Ltd.'s bioinformatics analysts specialize in the knowledge mining of proteomics data, especially in the analysis of biological pathways and networks, quickly discovering a large amount of protein interaction data. Based on the research progress of bioinformatics analysis methods, a proteome data bioinformatics analysis platform has been established, providing a complete set of bioinformatics solutions including: quality analysis of omics data, differential expression analysis of omics data, GO, KEGG, COG annotation analysis of differential expression proteins, protein clustering analysis, interaction networks, and multi-level network and pathway analysis. We can also provide customized bioinformatics analysis services according to customer requirements and references, discovering biological knowledge from high-throughput experimental data to assist customers in drug design, toxicity analysis, and disease biomarker discovery.