质谱有婚统计:叔是功能性,子是选择性和敏感性

Jacques Colinge, Alexandre Masselot
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引用次数: 4

摘要

分析串联质谱(MS/MS)数据的技术正在从经验确定的启发式方法转向标准的统计方法。OLAV是一个先进的数据库搜索引擎,应用统计模型来捕获正确肽识别的基本结构特性。此外,正如OLAV所示,在MS/MS搜索引擎中具有扩展功能以利用数据库注释和执行高级搜索策略是很重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mass spectrometry has married statistics: uncle is functionality, children are selectivity and sensitivity

Techniques for analyzing tandem mass spectrometry (MS/MS) data are moving from empirically determined heuristics to standard statistical methods. OLAV, an advanced database search engine, applies statistical models to capture essential structural properties of correct peptide identifications. Moreover, as exemplified by OLAV, it is important to have extended functionalities in MS/MS search engines both to exploit database annotations and to carry out advanced search strategies.

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