Literature DB >> 19947654

Unbiased statistical analysis for multi-stage proteomic search strategies.

Logan J Everett1, Charlene Bierl, Stephen R Master.   

Abstract

"Multi-stage" search strategies have become widely accepted for peptide identification and are implemented in a number of available software packages. We describe limitations of these strategies for validation and decoy-based statistical analyses and demonstrate these limitations using a set of control sample spectra. We propose a solution that corrects the statistical deficiencies and describe its implementation using the open-source software X!Tandem.

Mesh:

Year:  2010        PMID: 19947654     DOI: 10.1021/pr900256v

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


  17 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.  Meta-analysis for protein identification: a case study on yeast data.

Authors:  Roger Higdon; Winston Haynes; Eugene Kolker
Journal:  OMICS       Date:  2010-06

3.  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

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

Authors:  Marshall Bern; Yong J Kil
Journal:  J Proteome Res       Date:  2011-02-21       Impact factor: 4.466

5.  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 6.  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

7.  On using samples of known protein content to assess the statistical calibration of scores assigned to peptide-spectrum matches in shotgun proteomics.

Authors:  Viktor Granholm; William Stafford Noble; Lukas Käll
Journal:  J Proteome Res       Date:  2011-03-24       Impact factor: 4.466

8.  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

Review 9.  A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

Authors:  Alexey I Nesvizhskii
Journal:  J Proteomics       Date:  2010-09-08       Impact factor: 4.044

10.  Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics.

Authors:  Paolo Cifani; Zhi Li; Danmeng Luo; Mark Grivainis; Andrew M Intlekofer; David Fenyö; Alex Kentsis
Journal:  J Proteome Res       Date:  2021-03-22       Impact factor: 4.466

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