Computational Proteomics Analysis System (CPAS): An extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments
Computational Proteomics Analysis System (CPAS): An extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments
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DOI：
10.1021/pr0503533
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发表时间：
2006-01-01
影响因子：
4.4
通讯作者：
McIntosh, MW
中科院分区：
文献类型：
--
作者：
Rauch, A;Bellew, M;McIntosh, MW
开源的计算蛋白质组学分析系统(CPAS)包含一套完整的LC-MS/MS蛋白质组学数据分析和管理流水线，包括实验注释、蛋白质数据库搜索和序列管理，以及挖掘LC-MS/MS多肽和蛋白质识别。CPAS体系结构和功能，如通用实验注释组件、安装软件和数据安全管理，使其对于跨地理位置的协作项目和没有实质性计算支持的蛋白质组实验室非常有用。
The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.