Computational Proteomics Analysis System (CPAS): An Extensible, Open-Source Analytic System for Evaluating and Publishing Proteomic Data and High Throughput Biological Experiments

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. Keywords: X! Tandem ? FuGE ? mzXML ? pepXML ? adenocarcinoma ? proteomics

开源计算蛋白质组学分析系统（Computational Proteomics Analysis System，CPAS）涵盖了一套完整的液相色谱-串联质谱（Liquid Chromatography Tandem Mass Spectrometry，LC-MS/MS）蛋白质组学数据分析与管理流程，包括实验注释、蛋白质数据库检索与序列管理，以及对LC-MS/MS肽段与蛋白质鉴定结果的挖掘分析。CPAS的架构与特性——如通用实验注释组件、安装软件及数据安全管理功能——使其可适用于跨地域协作项目，同时也能为缺乏充足计算支持的蛋白质组学实验室提供助力。关键词：X! Tandem、FuGE、mzXML、pepXML、腺癌、蛋白质组学