Proteome Software, Portland, OR 97219, USA.
Proteomics. 2010 Mar;10(6):1265-9. doi: 10.1002/pmic.200900437.
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.
不可靠的蛋白质鉴定的过度报告降低了基于 MS/MS 的蛋白质组学研究的准确性和可重复性。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提高蛋白质鉴定报告的可信度。此外,这项工作还描述了 Scaffold 用于进一步减少错误报告的蛋白质鉴定的高级蛋白质分组方法,特别是在使用大型或其他序列冗余蛋白质数据库时。