Scaffold: A bioinformatic tool for validating MS/MS-based proteomic studies
Scaffold: A bioinformatic tool for validating MS/MS-based proteomic studies
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DOI：
10.1002/pmic.200900437
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发表时间：
2010-03-01
期刊：
影响因子：
3.4
通讯作者：
Searle, Brian C.
中科院分区：
文献类型：
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作者：
Searle, Brian C.
过度报道不可靠的蛋白质鉴定降低了基于MS/MS的蛋白质组学研究的准确性和重现性。在这项工作中，我们展示了一种名为Scaffold的生物信息学工具所使用的分析工作流程，该工具试图通过使用几种统计方法来增加蛋白质鉴定报告的可信度。此外，这项工作还描述了一种先进的蛋白质分组方法，用于进一步减少错误报告的蛋白质鉴定，特别是在使用大型或其他序列冗余蛋白质数据库时。
Over-reporting of unreliable protein identifications has reduced the accuracy and reproducibility of MS/MS-based proteomic studies. In this work, we demonstrate the analysis workflow used by a bioinformatic tool called Scaffold, which attempts to increase the confidence in protein identification reports through the use of several statistical methods. In addition, this work describes an advanced protein grouping method used by Scaffold to further reduce falsely reported protein identifications, particularly when using large or otherwise sequence redundant protein databases.