Literature DB >> 22311825

Search engine processor: Filtering and organizing peptide spectrum matches.

Paulo C Carvalho1, Juliana S G Fischer, Tao Xu, Daniel Cociorva, Tiago S Balbuena, Richard H Valente, Jonas Perales, John R Yates, Valmir C Barbosa.   

Abstract

The search engine processor (SEPro) is a tool for filtering, organizing, sharing, and displaying peptide spectrum matches. It employs a novel three-tier Bayesian approach that uses layers of spectrum, peptide, and protein logic to lead the data to converge to a single list of reliable protein identifications. SEPro is integrated into the PatternLab for proteomics environment, where an arsenal of tools for analyzing shotgun proteomic data is provided. By using the semi-labeled decoy approach for benchmarking, we show that SEPro significantly outperforms a commercially available competitor.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22311825      PMCID: PMC3334471          DOI: 10.1002/pmic.201100529

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  18 in total

1.  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

2.  Analyzing shotgun proteomic data with PatternLab for proteomics.

Authors:  Paulo C Carvalho; John R Yates Iii; Valmir C Barbosa
Journal:  Curr Protoc Bioinformatics       Date:  2010-06

3.  Can the false-discovery rate be misleading?

Authors:  Rodrigo Barboza; Daniel Cociorva; Tao Xu; Valmir C Barbosa; Jonas Perales; Richard H Valente; Felipe M G França; John R Yates; Paulo C Carvalho
Journal:  Proteomics       Date:  2011-09-06       Impact factor: 3.984

4.  MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis.

Authors:  David L Tabb; Christopher G Fernando; Matthew C Chambers
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

5.  Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome.

Authors:  Junmin Peng; Joshua E Elias; Carson C Thoreen; Larry J Licklider; Steven P Gygi
Journal:  J Proteome Res       Date:  2003 Jan-Feb       Impact factor: 4.466

6.  Arginylation and methylation double up to regulate nuclear proteins and nuclear architecture in vivo.

Authors:  Sougata Saha; Catherine C L Wong; Tao Xu; Suk Namgoong; Henry Zebroski; John R Yates; Anna Kashina
Journal:  Chem Biol       Date:  2011-11-23

7.  Analysis of quantitative proteomic data generated via multidimensional protein identification technology.

Authors:  Michael P Washburn; Ryan Ulaszek; Cosmin Deciu; David M Schieltz; John R Yates
Journal:  Anal Chem       Date:  2002-04-01       Impact factor: 6.986

8.  IDPicker 2.0: Improved protein assembly with high discrimination peptide identification filtering.

Authors:  Ze-Qiang Ma; Surendra Dasari; Matthew C Chambers; Michael D Litton; Scott M Sobecki; Lisa J Zimmerman; Patrick J Halvey; Birgit Schilling; Penelope M Drake; Bradford W Gibson; David L Tabb
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

9.  GO Explorer: A gene-ontology tool to aid in the interpretation of shotgun proteomics data.

Authors:  Paulo C Carvalho; Juliana Sg Fischer; Emily I Chen; Gilberto B Domont; Maria Gc Carvalho; Wim M Degrave; John R Yates; Valmir C Barbosa
Journal:  Proteome Sci       Date:  2009-02-24       Impact factor: 2.480

10.  PatternLab for proteomics: a tool for differential shotgun proteomics.

Authors:  Paulo C Carvalho; Juliana S G Fischer; Emily I Chen; John R Yates; Valmir C Barbosa
Journal:  BMC Bioinformatics       Date:  2008-07-21       Impact factor: 3.169

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  39 in total

1.  Improving the TFold test for differential shotgun proteomics.

Authors:  Paulo C Carvalho; John R Yates; Valmir C Barbosa
Journal:  Bioinformatics       Date:  2012-04-26       Impact factor: 6.937

2.  Comparative proteomic analysis of the aging soleus and extensor digitorum longus rat muscles using TMT labeling and mass spectrometry.

Authors:  Daniela F S Chaves; Paulo C Carvalho; Diogo B Lima; Humberto Nicastro; Fábio M Lorenzeti; Mário Siqueira-Filho; Sandro M Hirabara; Paulo H M Alves; James J Moresco; John R Yates; Antonio H Lancha
Journal:  J Proteome Res       Date:  2013-09-25       Impact factor: 4.466

3.  ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity.

Authors:  T Xu; S K Park; J D Venable; J A Wohlschlegel; J K Diedrich; D Cociorva; B Lu; L Liao; J Hewel; X Han; C C L Wong; B Fonslow; C Delahunty; Y Gao; H Shah; J R Yates
Journal:  J Proteomics       Date:  2015-07-11       Impact factor: 4.044

4.  PepExplorer: a similarity-driven tool for analyzing de novo sequencing results.

Authors:  Felipe V Leprevost; Richard H Valente; Diogo B Lima; Jonas Perales; Rafael Melani; John R Yates; Valmir C Barbosa; Magno Junqueira; Paulo C Carvalho
Journal:  Mol Cell Proteomics       Date:  2014-05-30       Impact factor: 5.911

5.  The ribosome assembly factor Nop53 controls association of the RNA exosome with pre-60S particles in yeast.

Authors:  Leidy Paola P Cepeda; Felipe F M Bagatelli; Renata M Santos; Marlon D M Santos; Fabio C S Nogueira; Carla C Oliveira
Journal:  J Biol Chem       Date:  2019-10-29       Impact factor: 5.157

6.  Mapping Proteoforms and Protein Complexes From King Cobra Venom Using Both Denaturing and Native Top-down Proteomics.

Authors:  Rafael D Melani; Owen S Skinner; Luca Fornelli; Gilberto B Domont; Philip D Compton; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2016-05-13       Impact factor: 5.911

7.  Proteomics reveals major components of oogenesis in the reproductive tract of sugar-fed Anopheles aquasalis.

Authors:  Geovane Dias-Lopes; Andre Borges-Veloso; Leonardo Saboia-Vahia; Gabriel Padrón; Cássia Luana de Faria Castro; Ana Carolina Ramos Guimarães; Constança Britto; Patricia Cuervo; Jose Batista De Jesus
Journal:  Parasitol Res       Date:  2016-02-06       Impact factor: 2.289

8.  Assessing the partners of the RBP9-mRNP complex in Trypanosoma cruzi using shotgun proteomics and RNA-seq.

Authors:  Helisa Helena Wippel; Alexandre Haruo Inoue; Newton Medeiros Vidal; Jimena Ferreira da Costa; Bruna Hilzendeger Marcon; Bruno Accioly Alves Romagnoli; Marlon Dias Mariano Santos; Paulo Costa Carvalho; Samuel Goldenberg; Lysangela Ronalte Alves
Journal:  RNA Biol       Date:  2018-09-10       Impact factor: 4.652

9.  Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0.

Authors:  Paulo C Carvalho; Diogo B Lima; Felipe V Leprevost; Marlon D M Santos; Juliana S G Fischer; Priscila F Aquino; James J Moresco; John R Yates; Valmir C Barbosa
Journal:  Nat Protoc       Date:  2015-12-10       Impact factor: 13.491

10.  Large-scale proteome comparative analysis of developing rhizomes of the ancient vascular plant equisetum hyemale.

Authors:  Tiago Santana Balbuena; Ruifeng He; Fernanda Salvato; David R Gang; Jay J Thelen
Journal:  Front Plant Sci       Date:  2012-06-26       Impact factor: 5.753

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