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本文引用的文献

1
Unbiased statistical analysis for multi-stage proteomic search strategies.多阶段蛋白质组学搜索策略的无偏统计分析。
J Proteome Res. 2010 Feb 5;9(2):700-7. doi: 10.1021/pr900256v.
2
Reanalysis of Tyrannosaurus rex Mass Spectra.霸王龙质谱的重新分析。
J Proteome Res. 2009 Sep;8(9):4328-32. doi: 10.1021/pr900349r.
3
Improved ranking functions for protein and modification-site identifications.用于蛋白质和修饰位点鉴定的改进排序函数。
J Comput Biol. 2008 Sep;15(7):705-19. doi: 10.1089/cmb.2007.0119.
4
The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra.Paragon算法是一种新一代搜索引擎,它使用序列温度值和特征概率从串联质谱中识别肽段。
Mol Cell Proteomics. 2007 Sep;6(9):1638-55. doi: 10.1074/mcp.T600050-MCP200. Epub 2007 May 27.
5
Validated MALDI-TOF/TOF mass spectra for protein standards.经验证的蛋白质标准品的基质辅助激光解吸电离飞行时间串联质谱(MALDI-TOF/TOF)质谱图
J Am Soc Mass Spectrom. 2007 May;18(5):850-5. doi: 10.1016/j.jasms.2007.01.010. Epub 2007 Feb 27.
6
Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.用于提高质谱法大规模蛋白质鉴定可信度的靶标-诱饵搜索策略。
Nat Methods. 2007 Mar;4(3):207-14. doi: 10.1038/nmeth1019.
7
Lookup peaks: a hybrid of de novo sequencing and database search for protein identification by tandem mass spectrometry.查找峰:一种用于串联质谱法蛋白质鉴定的从头测序与数据库搜索相结合的方法。
Anal Chem. 2007 Feb 15;79(4):1393-400. doi: 10.1021/ac0617013. Epub 2007 Jan 23.
8
Dynamic spectrum quality assessment and iterative computational analysis of shotgun proteomic data: toward more efficient identification of post-translational modifications, sequence polymorphisms, and novel peptides.鸟枪法蛋白质组学数据的动态谱质量评估与迭代计算分析:迈向更高效地鉴定翻译后修饰、序列多态性和新型肽段
Mol Cell Proteomics. 2006 Apr;5(4):652-70. doi: 10.1074/mcp.M500319-MCP200. Epub 2005 Dec 12.
9
A Heuristic method for assigning a false-discovery rate for protein identifications from Mascot database search results.一种用于根据Mascot数据库搜索结果为蛋白质鉴定分配错误发现率的启发式方法。
Mol Cell Proteomics. 2005 Jun;4(6):762-72. doi: 10.1074/mcp.M400215-MCP200. Epub 2005 Feb 9.
10
TANDEM: matching proteins with tandem mass spectra.串联:将蛋白质与串联质谱进行匹配。
Bioinformatics. 2004 Jun 12;20(9):1466-7. doi: 10.1093/bioinformatics/bth092. Epub 2004 Feb 19.

评论“多阶段蛋白质组学搜索策略的无偏统计分析”。

Comment on "Unbiased statistical analysis for multi-stage proteomic search strategies".

机构信息

Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, California 94304, USA.

出版信息

J Proteome Res. 2011 Apr 1;10(4):2123-7. doi: 10.1021/pr101143m. Epub 2011 Feb 21.

DOI:10.1021/pr101143m
PMID:21288048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3613568/
Abstract

Everett et al. recently reported on a statistical bias that arises in the target-decoy approach to false discovery rate estimation in two-pass proteomics search strategies as exemplified by X!Tandem. This bias can cause serious underestimation of the false discovery rate. We argue here that the "unbiased" solution proposed by Everett et al., however, is also biased and under certain circumstances can also result in a serious underestimate of the FDR, especially at the protein level.

摘要

埃弗雷特等人最近报道了一种在双通蛋白质组学搜索策略(如 X!Tandem 中)的靶标-诱饵方法中出现的统计偏差,这种偏差会导致错误发现率的严重低估。我们在这里认为,埃弗雷特等人提出的“无偏”解决方案也是有偏差的,并且在某些情况下也会导致 FDR 的严重低估,尤其是在蛋白质水平上。