PASSEL: The PeptideAtlas SRM experiment library
PASSEL: The PeptideAtlas SRM experiment library
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DOI：
10.1002/pmic.201100515
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发表时间：
2012-04-01
期刊：
影响因子：
3.4
通讯作者：
Moritz, Robert L.
中科院分区：
文献类型：
--
作者：
Farrah, Terry;Deutsch, Eric W.;Moritz, Robert L.
蛋白质组学数据的公共存储库通过启用更有效的数据集的跨分析加速了蛋白质组学研究，从而支持蛋白质和肽的创建实验结果的创建，从而支持新软件工具的开发和测试，并促进手稿审查过程。迄今为止可用的存储库旨在适应shot弹枪实验或通用蛋白质组学数据文件。在这里，我们描述了一种新型的蛋白质组学数据存储库，用于从选定的反应监测（SRM）测量中收集和表示数据。 PeptideAtlas SRM实验库（PASSEL）允许研究人员轻松提交SRM生成的蛋白质组学数据集。原始数据会自动以统一的方式处理，结果存储在数据库中，可以通过包括色谱图查看器的Web界面下载或浏览它们。 SRMDATA的杂货交流分析，支持SRMDATA收集的优化，并促进了SRMDATA的审查过程。此外，Passelwill有助于评估包含相同肽以及多种实验方案的各种样品中的蛋白质肽性能。
Public repositories for proteomics data have accelerated proteomics research by enabling more efficient cross-analyses of datasets, supporting the creation of protein and peptide compendia of experimental results, supporting the development and testing of new software tools, and facilitating the manuscript review process. The repositories available to date have been designed to accommodate either shotgun experiments or generic proteomic data files. Here, we describe a new kind of proteomic data repository for the collection and representation of data from selected reaction monitoring (SRM) measurements. The PeptideAtlas SRM Experiment Library (PASSEL) allows researchers to easily submit proteomic data sets generated by SRM. The raw data are automatically processed in a uniform manner and the results are stored in a database, where they may be downloaded or browsed via a web interface that includes a chromatogram viewer. PASSELenables cross-analysis of SRMdata, supports optimization of SRMdata collection, and facilitates the review process of SRMdata. Further, PASSELwill help in the assessment of proteotypic peptide performance in a wide array of samples containing the same peptide, as well as across multiple experimental protocols.