MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization

The scale of mass spectrometry-based proteomics data sets continues to increase, and the analysis workflows are becoming more complex as various steps are carried out using a multitude of software programs developed by both commercial providers and the research community. Manually shepherding data across multiple programs and in-house-developed scripts can be error prone and labor intensive. It is also difficult for others to follow the same steps, leading to poor repeatability. We have developed an integrated data management and analysis platform termed MSConnect that enables simple and traceable processing workflows across multiple programs, thus improving repeatability and automating common backup and analysis steps from the point of data collection through summarization and visualization. The open nature of the MSConnect platform enables the diverse omics community to seamlessly integrate third-party tools or develop and automate their own unique workflows. With an open license and design architecture, MSConnect has the potential to become a community-driven platform serving a wide range of MS-based omics researchers.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-02-28
DOI
https://doi.org/10.1021/acs.jproteome.4c00854
Citations
2
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.61

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article

MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization

Xiaofeng Xie, Ryan Kelly, Samuel Payne, Hsien‐Jung L. Lin et al.
2 citations
Journal of Proteome Research
Metabolomics and Mass Spectrometry Studies
1.61
article

MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization

Xiaofeng Xie, Ryan Kelly, Samuel Payne, Hsien‐Jung L. Lin, Kei G. I. Webber, Thy Truong, Parker S. Reyes, G. Alex Mannewitz
article en
2 citations

Abstract

The scale of mass spectrometry-based proteomics data sets continues to increase, and the analysis workflows are becoming more complex as various steps are carried out using a multitude of software programs developed by both commercial providers and the research community. Manually shepherding data across multiple programs and in-house-developed scripts can be error prone and labor intensive. It is also difficult for others to follow the same steps, leading to poor repeatability. We have developed an integrated data management and analysis platform termed MSConnect that enables simple and traceable processing workflows across multiple programs, thus improving repeatability and automating common backup and analysis steps from the point of data collection through summarization and visualization. The open nature of the MSConnect platform enables the diverse omics community to seamlessly integrate third-party tools or develop and automate their own unique workflows. With an open license and design architecture, MSConnect has the potential to become a community-driven platform serving a wide range of MS-based omics researchers.

Journal of Proteome ResearchVol. 24(4)
Brigham Young University (US)
National Cancer Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 19%
Metabolomics and Mass Spectrometry Studies
1.61
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MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization — Xiaofeng Xie, Ryan Kelly, et al. · Journal of Proteome Research (2025) | TGRS Research Map | TGRS