Karolinska Institutet, Department of Medicine, Karolinska University Hospital , Stockholm, Sweden 17176.
Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital , Stockholm, Sweden 17176.
Anal Chem. 2017 Jun 6;89(11):5713-5718. doi: 10.1021/acs.analchem.7b00890. Epub 2017 May 17.
Analyzing mass spectrometry-based metabolomics data presents a major challenge to metabolism researchers, as it requires downloading and processing large data volumes through complex "pipelines", even in cases where only a single metabolite or peak is of interest. This presents a significant hurdle for data sharing, reanalysis, or meta-analysis of existing data sets, whether locally stored or available from public repositories. Here we introduce mzAccess, a software system that provides interactive, online access to primary mass spectrometry data in real-time via a Web service protocol, circumventing the need for bulk data processing. mzAccess allows querying instrument data for spectra, chromatograms, or two-dimensional MZ-RT areas in either profile or centroid modes through a simple, uniform interface that is independent of vendor or instrument type. Using a cache mechanism, mzAccess achieves response times in the millisecond range for typical liquid chromatography-mass spectrometry (LC-MS) peaks, enabling real-time browsing of large data sets with hundreds or even thousands of samples. By simplifying access to metabolite data, we hope that this system will help enable data sharing and reanalysis in the metabolomics field.
分析基于质谱的代谢组学数据对代谢研究人员来说是一个重大挑战,因为即使只关注单个代谢物或峰,也需要通过复杂的“管道”下载和处理大量数据。这对于数据共享、重新分析或现有数据集的荟萃分析(无论是本地存储还是来自公共存储库)都是一个重大障碍。在这里,我们介绍了 mzAccess,这是一个软件系统,它通过 Web 服务协议实时提供对原始质谱数据的交互式在线访问,避免了批量数据处理的需要。mzAccess 允许通过简单、统一的接口(与供应商或仪器类型无关)以轮廓或质心模式查询仪器数据的光谱、色谱图或二维 MZ-RT 区域。使用缓存机制,mzAccess 实现了对于典型的液相色谱-质谱 (LC-MS) 峰的毫秒级响应时间,能够实时浏览具有数百甚至数千个样本的大型数据集。通过简化对代谢物数据的访问,我们希望该系统将有助于实现代谢组学领域的数据共享和重新分析。