mzPeak: Designing a Scalable, Interoperable, and Future-Ready Mass Spectrometry Data Format.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Tim Van Den Bossche, Theodore Alexandrov, Aivett Bilbao, Wout Bittremieux, Federico Ivan Brigante, Matthew Chase Chambers, Joshua Charkow, Eric Deutsch, Andrew W Dowsey, Yasin El Abiead, Ralf Gabriels, Helge Hecht, Steffen Heuckeroth, Joshua A Klein, Michael Knierman, Lennart Martens, Robert L Moritz, Laura-Isobel McCall, Steffen Neumann, Yasset Perez-Riverol, Hannes L Röst, Elliott J Price, Jim Shofstahl, David L Tabb, Julian Uszkoreit, Juan Antonio Vizcaíno, Mingxun Wang, Sander Willems, Dirk Winkelhardt, Oliver Kohlbacher, Samuel P Wein
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引用次数: 0

Abstract

Advances in mass spectrometry (MS) instrumentation, including higher resolution, faster scan speeds, and improved sensitivity, have dramatically increased the data volume and complexity. The adoption of imaging and ion mobility further amplifies these challenges in proteomics, metabolomics, and lipidomics. Current open formats such as mzML and imzML struggle to keep pace due to large file sizes, slow data access, and limited metadata support. Vendor-specific formats offer faster access but lack interoperability and long-term archival guarantees. We here lay the groundwork for mzPeak, a next-generation community data format designed to address these challenges and support high-throughput, multidimensional MS workflows. By adopting a hybrid model that combines efficient binary storage for numerical data and both human- and machine-readable metadata storage, mzPeak will reduce file sizes, accelerate data access, and offer a scalable, adaptable solution for evolving MS technologies. For researchers, mzPeak will support complex workflows and regulatory compliance through faster access, improved metadata, and interoperability. For vendors, it offers a streamlined, open alternative to proprietary formats. mzPeak aims to become a cornerstone of MS data management, enabling sustainable, high-performance solutions for future data types and fostering collaboration across the mass spectrometry community.

mzPeak:设计一种可扩展、可互操作和面向未来的质谱数据格式。
质谱(MS)仪器的进步,包括更高的分辨率、更快的扫描速度和更高的灵敏度,极大地增加了数据量和复杂性。成像和离子迁移的采用进一步放大了蛋白质组学、代谢组学和脂质组学中的这些挑战。当前的开放格式(如mzML和imzML)由于文件大小大、数据访问速度慢以及有限的元数据支持而难以跟上步伐。特定于供应商的格式提供更快的访问,但缺乏互操作性和长期存档保证。我们在此为下一代社区数据格式mzPeak奠定基础,该格式旨在解决这些挑战,并支持高吞吐量、多维MS工作流程。通过采用一种混合模型,将数字数据的高效二进制存储与人类和机器可读的元数据存储相结合,mzPeak将减少文件大小,加速数据访问,并为不断发展的MS技术提供可扩展、可适应的解决方案。对于研究人员来说,mzPeak将通过更快的访问、改进的元数据和互操作性来支持复杂的工作流程和法规遵从性。对于供应商来说,它为专有格式提供了一种简化的、开放的替代方案。mzPeak旨在成为质谱数据管理的基石,为未来的数据类型提供可持续的高性能解决方案,并促进整个质谱社区的协作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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