前体解卷错误估计:在自上而下的蛋白质组学中,错误发现率中的缺失的拼图片
Kyowon Jeong1,2, Philipp T Kaulich3, Wonhyeuk Jung4
1Applied Bioinformatics, Computer Science Department, University of Tübingen, Tübingen, Germany.
Proteomics
|November 24, 2023
概括
上下蛋白质组学 (TDP) 数据分析受到不准确的错误发现率 (FDR) 估计的阻碍. 我们表明,TDP中的目标诱方法 (TDA) FDR由于前体质量错误而存在缺陷,并提出了一个校正公式.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 生物化学 生化学
- 分析化学 分析化学
背景情况:
- 顶向下蛋白质组学 (TDP) 提供了全面的蛋白质形式分析,超过了自下而上的蛋白质组学 (BUP).
- 准确的数据分析,特别是错误发现率 (FDR) 估计,仍然是TDP的一个重大挑战.
- 目标诱方法 (TDA) 广泛用于FDR估计,但它是为BUP.开发的.
研究的目的:
- 评估基于TDA的FDR估计在TDP中的蛋白质水平的准确性.
- 确定导致基于TDA的TDP的FDR估计潜在不准确性的因素.
- 提出一种方法来纠正TDP中蛋白质形式水平的FDR偏差.
主要方法:
- 对TDP数据的分析,重点是前体质量解卷.
- 基于TDA的FDR与实际蛋白质形状识别率的比较.
- 开发一种修改后的FDR计算,其中包含了前体解卷失误率.
主要成果:
- 有证据表明,基于TDA的FDR估计对于TDP中的蛋白形体鉴定是不准确的.
- 对前体质量的错误解卷被确定为导致FDR偏差的关键因素.
- 结合TDA-FDR和前体解卷失误率的拟议公式纠正了这种偏差.
结论:
- 在TDP中基于TDA的常规FDR可能代表蛋白质水平,而不是蛋白质形式水平的FDR.
- 考虑前体解卷错误对于准确的蛋白质形状鉴定至关重要.
- 开发的校正公式提高了TDP数据分析的可靠性.
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