Glycan Mass Spectrometry Data Interpretation, Integration and Visualization

Glycan Mass Spectrometry Data Interpretation, Integration and Visualization

Enhancing Glycan Mass Spectrometry (MS) Data Visualization with Unmatched Ease

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.

Streamlining MS data analysis

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.

Data processing

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.

  • Data visualization: The visualization we provide supports clients to manipulate both raw and parsed spectra. Moreover, we provide precision labeling and aggregated data processing services. For raw MS data, our staff provides baseline adjustment and denoising, wavelet analysis, and peak detection.
  • Interactive operations: CD BioGlyco ensures that the clarity and consistency of the visualization are ensured by enhancing the spectral parameters. Our MS data visualization supports links to chromatograms to parse MS data by specific retention times.

High-resolution MS data analysis

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.

Flowchart of glycan MS data visualization. (CD BioGlyco)

Publication

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 for proteomics and metabolomics.Fig.1 Visualization of MS/MS spectrum. (Bittremieux, 2019)

Applications

  • Glycan MS data interpretation, integration, and visualization can be used for customized analysis of MS data corresponding to unknown glycoprotein samples.
  • Glycan MS data interpretation, integration, and visualization can be used for interactive spectrogram generation.
  • Glycan MS data interpretation, integration, and visualization can be used to analyze glycan and glycopeptide fragmentation information.

Advantages of Us

  • Whether you deal with chromatographic data or spectroscopic data, our application meets your needs.
  • Our advanced computational algorithms derive single isotope m/z values and precursor charge states without manual user input.
  • Our researchers have a strong bioinformatics background to help our clients easily handle large data sets.

Frequently Asked Questions

  • What types of MS data are supported?
    • CD BioGlyco supports many different sources of spectral data including but not limited to ultraviolet (UV) spectra, pressure data, and flame ionization data.
  • How to deal with huge packets?
    • If your MS data is very large such as over 10,000 points, our dedicated computer team first automatically summarizes and filters the data for efficient presentation. Our aggregation service does not compromise the accuracy and completeness of the analysis.
  • Can the visual presentation of spectral data be customized by the client?
    • Our project planning team provides parameter modification and user-defined input services to meet the specific needs of different clients. Our visualization features support selecting specific spectra, switching peaks, modifying baseline positions, adjusting presentation parameters, and more.

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.

Reference

  1. Bittremieux, W. spectrum_utils A python package for mass spectrometry data processing and visualization. Analytical Chemistry. 2019, 92(1): 659-661.
For research use only. Not intended for any diagnostic use.
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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.

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