HOW TO ASSESS PEPTIDE LEVEL FALSE DISCOVERY RATES FOR MS/MS STUDIES

如何评估 MS/MS 研究的肽水平错误发现率

• 批准号: 7957847
• 负责人: William Noble
• 金额: $ 4.2万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7957847
• 关键词: Biology; Computer Retrieval of Information on Scientific Projects Database; Data Set; Databases; Funding; Fungal Genome; Grant; Institution; Methods; Peptides; Proteomics; Research; Research Personnel; Resources; Shotguns; Source; Techniques; United States National Institutes of Health

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. We present a method for accurately estimating false discovery rates (FDR) in shotgun proteomics data sets by using a decoy database. This project involves first applying established statistical techniques for FDR estimation.

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。 我们提出了一种方法，准确地估计错误发现率（FDR）在鸟枪蛋白质组学数据集使用诱饵数据库。 该项目首先涉及应用既定的统计技术进行FDR估计。