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A Galaxy of informatics resources for MS-based proteomics
Journal article   Open access   Peer reviewed

A Galaxy of informatics resources for MS-based proteomics

Subina Mehta, Matthias Bernt, Matthew Chambers, Matthias Fahrner, Melanie Christine Föll, Bjoern Gruening, Carlos Horro, James E. Johnson, Valentin Loux, Andrew T. Rajczewski, …
Expert Review of Proteomics, Vol.20(11), pp.251-266
2023
PMID: 37787106
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A Galaxy of informatics resources for MS-based proteomics862.58 kBDownloadView
Accepted Version Open Access CC BY-NC V4.0
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https://doi.org/10.1080/14789450.2023.2265062View
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Abstract

Mass-spectrometry Multi-omics Proteomics Reproducibility bioinformatics computational workflows Galaxy platform
Introduction: Continuous advances in mass spectrometry (MS) technologies have enabled deeper and more reproducible proteome characterization, and a better understanding of biological systems when integrated with other ‘omics data. Bioinformatic resources meeting analysis requirements of increasingly complex MS-based proteomic data, and associated multi-omic data, are critically needed. These requirements included availability of software spanning diverse types of analyses, along with scalability for large-scale, compute-intensive applications and mechanisms to ease adoption of the software. Areas covered: The Galaxy ecosystem meets these requirements by offering a multitude of open-source tools for MS-based proteomics analyses and applications, all in an adaptable, scalable, and accessible computing environment. A thriving global community maintains these software and associated training resources to empower researcher-driven analyses. Expert opinion; The community-supported Galaxy ecosystem remains a crucial contributor to basic biological and clinical studies using MS-based proteomics. In addition to the current status of Galaxy-based resources, we describe ongoing developments for meeting emerging challenges in MS-based proteomic informatics. We hope this review will catalyze increased use of Galaxy by researchers employing MS-based proteomics and inspire software developers to join the community and implement new tools, workflows, and associated training content that will add further value to this already rich ecosystem.

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