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

确定蛋白质 ID 数据集的总体优点：RHO 图

• 批准号: 7954112
• 负责人: RONALD C. BEAVIS
• 金额: $ 0.12万
• 依托单位: ROCKEFELLER UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7954112
• 关键词: Algorithms; Behavior; Categories; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Drug Formulations; Funding; Grant; Institution; Mass Spectrum Analysis; Methods; Paper; Probability; Proteins; Proteome; Proteomics; Relative (related person); Research; Research Personnel; Resources; Scheme; Source; Testing; United States National Institutes of Health; base; helix-loop-helix protein differentiation inhibitor; heuristics; macromolecule; protein aminoacid sequence; rho

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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 本文描述了一种简单的启发式方法，用于确定使用串联质谱进行的一组肽序列分配的优点。该方法涉及基于序列分配算法的已知随机行为与从特定数据集生成的分配进行比较的预测。通过构建数据图，Rho-Dagram以及从该图，Rho-Score得出的参数来定义此比较的特殊公式。该图和参数被证明能够轻松地表征一组肽序列分配的相对质量，并可以直接确定蛋白质组学数据解释的概率阈值值。该图独立于用于估计一组实验结果的统计意义的算法或评分方案。相反，它可以用作对这些估计的正确性的客观测试。 Rho-Score也可以用作评估蛋白质鉴定的相对优点的参数，例如跨蛋白质物种分类类别的蛋白质鉴定。