Literature DB >> 18081243

What's driving false discovery rates?

David L Tabb1.   

Abstract

The "Paris Guidelines" have begun the process of standardizing reporting for proteomics. New bioinformatics tools have improved the process for estimating error rates of peptide identifications. This perspective seeks to consider these advances in the context of proteomics' short history. As increasing numbers of proteomics papers come from biologists rather than technologists, developing consensus standards for estimating error will be increasingly necessary. Standardizing this assessment should be welcomed as a reflection of the growing impact of proteomic technologies.

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Year:  2007        PMID: 18081243      PMCID: PMC2810656          DOI: 10.1021/pr700728t

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


  10 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.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

3.  Reporting protein identification data: the next generation of guidelines.

Authors:  Ralph A Bradshaw; Alma L Burlingame; Steven Carr; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2006-05       Impact factor: 5.911

4.  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

5.  Proteomic parsimony through bipartite graph analysis improves accuracy and transparency.

Authors:  Bing Zhang; Matthew C Chambers; David L Tabb
Journal:  J Proteome Res       Date:  2007-08-04       Impact factor: 4.466

6.  An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

Authors:  J K Eng; A L McCormack; J R Yates
Journal:  J Am Soc Mass Spectrom       Date:  1994-11       Impact factor: 3.109

7.  Base-calling of automated sequencer traces using phred. I. Accuracy assessment.

Authors:  B Ewing; L Hillier; M C Wendl; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

8.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

9.  Randomized sequence databases for tandem mass spectrometry peptide and protein identification.

Authors:  Roger Higdon; Jason M Hogan; Gerald Van Belle; Eugene Kolker
Journal:  OMICS       Date:  2005

10.  ARACHNE: a whole-genome shotgun assembler.

Authors:  Serafim Batzoglou; David B Jaffe; Ken Stanley; Jonathan Butler; Sante Gnerre; Evan Mauceli; Bonnie Berger; Jill P Mesirov; Eric S Lander
Journal:  Genome Res       Date:  2002-01       Impact factor: 9.043

  10 in total
  22 in total

1.  Mass spectrometry in high-throughput proteomics: ready for the big time.

Authors:  Tommy Nilsson; Matthias Mann; Ruedi Aebersold; John R Yates; Amos Bairoch; John J M Bergeron
Journal:  Nat Methods       Date:  2010-09       Impact factor: 28.547

2.  Rapid validation of Mascot search results via stable isotope labeling, pair picking, and deconvolution of fragmentation patterns.

Authors:  Samuel L Volchenboum; Kolbrun Kristjansdottir; Donald Wolfgeher; Stephen J Kron
Journal:  Mol Cell Proteomics       Date:  2009-05-11       Impact factor: 5.911

Review 3.  Systems biology: Functional analysis of natural microbial consortia using community proteomics.

Authors:  Nathan C VerBerkmoes; Vincent J Denef; Robert L Hettich; Jillian F Banfield
Journal:  Nat Rev Microbiol       Date:  2009-03       Impact factor: 60.633

4.  Analysis of the uterine lumen in fertility-classified heifers: II. Proteins and metabolites†.

Authors:  Joao G N Moraes; Susanta K Behura; Jeanette V Bishop; Thomas R Hansen; Thomas W Geary; Thomas E Spencer
Journal:  Biol Reprod       Date:  2020-03-13       Impact factor: 4.285

5.  Stable isotope metabolic labeling-based quantitative phosphoproteomic analysis of Arabidopsis mutants reveals ethylene-regulated time-dependent phosphoproteins and putative substrates of constitutive triple response 1 kinase.

Authors:  Zhu Yang; Guangyu Guo; Manyu Zhang; Claire Y Liu; Qin Hu; Henry Lam; Han Cheng; Yu Xue; Jiayang Li; Ning Li
Journal:  Mol Cell Proteomics       Date:  2013-09-16       Impact factor: 5.911

6.  Peppy: proteogenomic search software.

Authors:  Brian A Risk; Wendy J Spitzer; Morgan C Giddings
Journal:  J Proteome Res       Date:  2013-05-06       Impact factor: 4.466

7.  Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: application to the study of vascular endothelial growth factor-induced angiogenesis in endothelial cells.

Authors:  Inmaculada Jorge; Pedro Navarro; Pablo Martínez-Acedo; Estefanía Núñez; Horacio Serrano; Arántzazu Alfranca; Juan Miguel Redondo; Jesús Vázquez
Journal:  Mol Cell Proteomics       Date:  2009-01-29       Impact factor: 5.911

8.  Mining gene functional networks to improve mass-spectrometry-based protein identification.

Authors:  Smriti R Ramakrishnan; Christine Vogel; Taejoon Kwon; Luiz O Penalva; Edward M Marcotte; Daniel P Miranker
Journal:  Bioinformatics       Date:  2009-07-24       Impact factor: 6.937

9.  Mitochondrial proteome remodeling in ischemic heart failure.

Authors:  Tingting Liu; Le Chen; Eunjung Kim; Diana Tran; Brett S Phinney; Anne A Knowlton
Journal:  Life Sci       Date:  2014-02-16       Impact factor: 5.037

10.  Assessment of metabolome annotation quality: a method for evaluating the false discovery rate of elemental composition searches.

Authors:  Fumio Matsuda; Yoko Shinbo; Akira Oikawa; Masami Yokota Hirai; Oliver Fiehn; Shigehiko Kanaya; Kazuki Saito
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

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