Literature DB >> 21288048

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

Marshall Bern1, Yong J Kil.   

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.

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Year:  2011        PMID: 21288048      PMCID: PMC3613568          DOI: 10.1021/pr101143m

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  13 in total

1.  Qscore: an algorithm for evaluating SEQUEST database search results.

Authors:  Roger E Moore; Mary K Young; Terry D Lee
Journal:  J Am Soc Mass Spectrom       Date:  2002-04       Impact factor: 3.109

2.  Error tolerant searching of uninterpreted tandem mass spectrometry data.

Authors:  David M Creasy; John S Cottrell
Journal:  Proteomics       Date:  2002-10       Impact factor: 3.984

3.  A method for reducing the time required to match protein sequences with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Rapid Commun Mass Spectrom       Date:  2003       Impact factor: 2.419

4.  TANDEM: matching proteins with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Bioinformatics       Date:  2004-02-19       Impact factor: 6.937

5.  A Heuristic method for assigning a false-discovery rate for protein identifications from Mascot database search results.

Authors:  D Brent Weatherly; James A Atwood; Todd A Minning; Cameron Cavola; Rick L Tarleton; Ron Orlando
Journal:  Mol Cell Proteomics       Date:  2005-02-09       Impact factor: 5.911

6.  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.

Authors:  Alexey I Nesvizhskii; Franz F Roos; Jonas Grossmann; Mathijs Vogelzang; James S Eddes; Wilhelm Gruissem; Sacha Baginsky; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2005-12-12       Impact factor: 5.911

7.  Lookup peaks: a hybrid of de novo sequencing and database search for protein identification by tandem mass spectrometry.

Authors:  Marshall Bern; Yuhan Cai; David Goldberg
Journal:  Anal Chem       Date:  2007-01-23       Impact factor: 6.986

8.  Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.

Authors:  Joshua E Elias; Steven P Gygi
Journal:  Nat Methods       Date:  2007-03       Impact factor: 28.547

9.  Unbiased statistical analysis for multi-stage proteomic search strategies.

Authors:  Logan J Everett; Charlene Bierl; Stephen R Master
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

10.  Reanalysis of Tyrannosaurus rex Mass Spectra.

Authors:  Marshall Bern; Brett S Phinney; David Goldberg
Journal:  J Proteome Res       Date:  2009-09       Impact factor: 4.466

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  15 in total

1.  Fast multi-blind modification search through tandem mass spectrometry.

Authors:  Seungjin Na; Nuno Bandeira; Eunok Paek
Journal:  Mol Cell Proteomics       Date:  2011-12-20       Impact factor: 5.911

2.  Target-decoy approach and false discovery rate: when things may go wrong.

Authors:  Nitin Gupta; Nuno Bandeira; Uri Keich; Pavel A Pevzner
Journal:  J Am Soc Mass Spectrom       Date:  2011-05-05       Impact factor: 3.109

3.  Two-dimensional target decoy strategy for shotgun proteomics.

Authors:  Marshall W Bern; Yong J Kil
Journal:  J Proteome Res       Date:  2011-11-07       Impact factor: 4.466

Review 4.  A face in the crowd: recognizing peptides through database search.

Authors:  Jimmy K Eng; Brian C Searle; Karl R Clauser; David L Tabb
Journal:  Mol Cell Proteomics       Date:  2011-08-29       Impact factor: 5.911

5.  ProteoStorm: An Ultrafast Metaproteomics Database Search Framework.

Authors:  Doruk Beyter; Miin S Lin; Yanbao Yu; Rembert Pieper; Vineet Bafna
Journal:  Cell Syst       Date:  2018-09-26       Impact factor: 10.304

6.  Adaptation of Decoy Fusion Strategy for Existing Multi-Stage Search Workflows.

Authors:  Mark V Ivanov; Lev I Levitsky; Mikhail V Gorshkov
Journal:  J Am Soc Mass Spectrom       Date:  2016-06-27       Impact factor: 3.109

7.  Opportunities in proteomics to understand hepatitis C and HIV coinfection.

Authors:  Eric G Meissner; Anthony F Suffredini; Shyamasundaran Kottilil
Journal:  Future Virol       Date:  2012-08       Impact factor: 1.831

8.  Improving peptide identification sensitivity in shotgun proteomics by stratification of search space.

Authors:  Gelio Alves; Yi-Kuo Yu
Journal:  J Proteome Res       Date:  2013-05-29       Impact factor: 4.466

9.  Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures.

Authors:  John S Strum; Charles C Nwosu; Serenus Hua; Scott R Kronewitter; Richard R Seipert; Robert J Bachelor; Hyun Joo An; Carlito B Lebrilla
Journal:  Anal Chem       Date:  2013-05-24       Impact factor: 6.986

10.  False discovery rates in spectral identification.

Authors:  Kyowon Jeong; Sangtae Kim; Nuno Bandeira
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

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