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Related Concept Videos

Mass Spectrum: Interpretation01:24

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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
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Related Experiment Video

Updated: Mar 17, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
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OpenSlice: Quantitative data sharing from HyperPeaks to global ion chromatograms (GICs).

Manor Askenazi1, David Fenyö2

  • 1Biomedical Hosting LLC, Arlington, MA, USA.

Proteomics
|July 21, 2016
PubMed
Summary

OpenSlice enables real-time quantitative querying of large-scale proteomics data, allowing users to generate extracted ion chromatograms (XICs) without downloading files. This technology facilitates deep linking and data browsing through an intuitive interface.

Keywords:
BioinformaticsData miningData processing and analysisDatabases

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Science

Background:

  • Current mass spectrometry (MS) data sharing relies on static formats and repositories, hindering real-time analysis.
  • Large-scale quantitative data access typically requires downloading local files, impeding efficient data exploration.

Purpose of the Study:

  • To introduce OpenSlice, a novel technology for real-time, large-scale quantitative querying of proteomics discovery data.
  • To enable on-the-fly generation of extracted ion chromatograms (XICs) and global ion chromatograms across extensive datasets.

Main Methods:

  • Development of a technology suite (OpenSlice) for real-time quantitative data querying.
  • Implementation of a RESTful API for accessing all acquired data aspects, including individual chromatographic peaks (HyperPeaks).
  • Creation of an intuitive browser-based interface for data interaction.

Main Results:

  • OpenSlice allows quantitative querying of hundreds of hours of proteomics data in real time.
  • Users can generate XICs for arbitrary masses across entire datasets interactively.
  • The system provides deep linking capabilities through a uniform resource locator (URL) based API.

Conclusions:

  • OpenSlice significantly advances MS data sharing by enabling real-time quantitative analysis and deep linking.
  • The technology facilitates more efficient exploration and utilization of large-scale proteomics datasets.
  • A public demonstration using the CPTAC CompRef dataset is available for validation.