Our professional computational team provides an efficient Glycoinformatics-assisted Analysis/Prediction Service to help our clients with Glycan Data Visualization. High-resolution MS is a common tool for characterizing glycoproteomics and glycomics. Our researchers obtain, analyze, and visualize your MS data for unparalleled insights and efficiency. Whether you are interested in Chromatography Data Visualization, NMR Data Visualization, or HPLC Data Visualization, CD BioGlyco has the advanced algorithms and experienced staff to plan your entire data interpretation, integration, and visualization project.
Thousands of mass spectra are generated in a typical MS experiment, and we provide suitable bioinformatics tools to help our clients analyze huge MS datasets. The goal of our professional data visualization team is to provide a complete end-to-end solution from raw data to final identification and quantification of results.
We provide interpretation and integration of multiple data types including planning data, raw data, and analytical data. Our lab provides one-stop optimization of data from import to analysis.
CD BioGlyco provides MS data processing, visualization, and quantification services based on accurate MS feature peak extraction. Our lab enhances analytical capabilities through simple operation, intuitive ribbon representation, and customized parameter modifications.
Relying on precursor mass data and customized software, we provide glycan composition analysis services. Based on the list of spectral peaks of the input MS data, our researchers provide matching and calculation services between the theoretical glycan masses and the corresponding m/z values. Moreover, we provide relative abundance identification services for the N-linked glycoforms identified by each glycosylation site.
Technology: MS/MS spectra, Untargeted post-translational modification (PTM) profiling
Journal: Analytical Chemistry
Published: 2019
IF: 6.7
Results: In this work, the researchers built a new MS data processing and visualization package via Python. The researchers elucidated the experimental results by customizing the data analysis. Extensive data testing and computational efficiency optimization have shown that the package is capable of quickly processing the large amount of data generated during MS experiments. The visualization features efficiently generate a variety of high-quality graphs and interactive spectrograms.
Fig.1 Visualization of MS/MS spectrum. (Bittremieux, 2019)
Relying on a high-quality data collation team, CD BioGlyco provides our clients with efficient glycan MS data visualization services. Designed to enhance the ability to analyze data efficiently through intuitive presentation and simple operation. For any further information, do not hesitate to contact us.
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We envision a future where the intricate world of carbohydrate is no longer shrouded in mystery, but rather illuminated by the power of cutting-edge computational tools.