DETERMINING THE OVERALL MERIT OF PROTEIN ID DATA SETS: RHO-DIAGRAMS & RHO-SCORES

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 本文描述了一种简单的启发式方法，用于确定一组使用串联质谱进行的肽序列归属的优点。该方法涉及将基于序列分配算法的已知随机行为的预测与从特定数据集生成的分配进行比较。通过构建数据图（rho图）以及从该图导出的参数（rho评分）来定义该比较的特定公式。该图和参数被证明能够容易地表征一组肽序列分配的相对质量，并允许直接确定用于解释蛋白质组学数据的概率阈值。该图独立于用于估计一组实验结果的统计显著性的算法或评分方案;相反，它可以用作这些估计的正确性的客观测试。rho分数也可以用作评估蛋白质鉴定的相对价值的参数，例如跨蛋白质组物种分类学类别进行的那些。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This paper described a simple heuristic method for determining the merit of a set of peptide sequence assignments made using tandem mass spectra. The method involved comparing a prediction based on the known stochastic behavior of a sequence assignment algorithm with the assignments generated from a particular data set. A particular formulation of this comparison was defined through the construction of a plot of the data, the rho-diagram, as well as a parameter derived from this plot, the rho-score. This plot and parameter were shown to be able to readily characterize the relative quality of a set of peptide sequence assignments and to allow the straightforward determination of probability threshold values for the interpretation of proteomics data. This plot is independent of the algorithm or scoring scheme used to estimate the statistical significance of a set of experimental results; rather, it can be used as an objective test of the correctness of those estimates. The rho-score can also be used as a parameter to evaluate the relative merit of protein identifications, such as those made across proteome species taxonomic categories.