Rauch Adam, Bellew Matthew, Eng Jimmy, Fitzgibbon Matthew, Holzman Ted, Hussey Peter, Igra Mark, Maclean Brendan, Lin Chen Wei, Detter Andrea, Fang Ruihua, Faca Vitor, Gafken Phil, Zhang Heidi, Whiteaker Jeffrey, States David, Hanash Sam, Paulovich Amanda, McIntosh Martin W
Fred Hutchinson Cancer Research Center, Seattle, Washington, LabKey Software, Seattle, Washington 98109-1024, USA.
J Proteome Res. 2006 Jan;5(1):112-21. doi: 10.1021/pr0503533.
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.
开源的计算蛋白质组学分析系统（CPAS）包含用于液相色谱串联质谱（LC-MS/MS）蛋白质组学的完整数据分析和管理流程，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肽段和蛋白质鉴定结果。CPAS的架构和功能，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合作项目以及缺乏大量计算支持的蛋白质组学实验室很有用。
