Literature DB >> 17022656

GAPP: a fully automated software for the confident identification of human peptides from tandem mass spectra.

Ian Shadforth1, Weibing Xu, Daniel Crowther, Conrad Bessant.   

Abstract

This paper introduces the genome annotating proteomic pipeline (GAPP), a totally automated publicly available software pipeline for the identification of peptides and proteins from human proteomic tandem mass spectrometry data. The pipeline takes as its input a series of MS/MS peak lists from a given experimental sample and produces a series of database entries corresponding to the peptides observed within the sample, along with related confidence scores. The pipeline is capable of finding any peptides expected, including those that cross intron-exon boundaries, and those due to single nucleotide polymorphisms (SNPs), alternate splicing, and post-translational modifications (PTMs). GAPP can therefore be used to re-annotate genomes, and this is supported through the inclusion of a Distributed Annotation System (DAS) server, which allows the peptides identified by the pipeline to be displayed in their genomic context within the Ensembl genome browser. GAPP is freely available via the web, at www. gapp.info.

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Year:  2006        PMID: 17022656     DOI: 10.1021/pr060205s

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


  16 in total

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Authors:  Paola Picotti; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

2.  The organelle proteome of the DT40 lymphocyte cell line.

Authors:  Stephanie L Hall; Svenja Hester; Julian L Griffin; Kathryn S Lilley; Antony P Jackson
Journal:  Mol Cell Proteomics       Date:  2009-01-30       Impact factor: 5.911

3.  MRMaid, the web-based tool for designing multiple reaction monitoring (MRM) transitions.

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Journal:  Mol Cell Proteomics       Date:  2008-11-15       Impact factor: 5.911

4.  A novel approach for untargeted post-translational modification identification using integer linear optimization and tandem mass spectrometry.

Authors:  Richard C Baliban; Peter A DiMaggio; Mariana D Plazas-Mayorca; Nicolas L Young; Benjamin A Garcia; Christodoulos A Floudas
Journal:  Mol Cell Proteomics       Date:  2010-01-26       Impact factor: 5.911

5.  Applications of selected reaction monitoring (SRM)-mass spectrometry (MS) for quantitative measurement of signaling pathways.

Authors:  Yingxin Zhao; Allan R Brasier
Journal:  Methods       Date:  2013-02-11       Impact factor: 3.608

6.  Proteogenomic analysis of Bradyrhizobium japonicum USDA110 using GenoSuite, an automated multi-algorithmic pipeline.

Authors:  Dhirendra Kumar; Amit Kumar Yadav; Puneet Kumar Kadimi; Shivashankar H Nagaraj; Sean M Grimmond; Debasis Dash
Journal:  Mol Cell Proteomics       Date:  2013-07-23       Impact factor: 5.911

7.  PILOT_PROTEIN: identification of unmodified and modified proteins via high-resolution mass spectrometry and mixed-integer linear optimization.

Authors:  Richard C Baliban; Peter A Dimaggio; Mariana D Plazas-Mayorca; Benjamin A Garcia; Christodoulos A Floudas
Journal:  J Proteome Res       Date:  2012-07-26       Impact factor: 4.466

Review 8.  Proteomics of plant pathogenic fungi.

Authors:  Raquel González-Fernández; Elena Prats; Jesús V Jorrín-Novo
Journal:  J Biomed Biotechnol       Date:  2010-05-27

Review 9.  Proteomics data repositories: providing a safe haven for your data and acting as a springboard for further research.

Authors:  Juan Antonio Vizcaíno; Joseph M Foster; Lennart Martens
Journal:  J Proteomics       Date:  2010-07-06       Impact factor: 4.044

10.  A guide to the Proteomics Identifications Database proteomics data repository.

Authors:  Juan Antonio Vizcaíno; Richard Côté; Florian Reisinger; Joseph M Foster; Michael Mueller; Jonathan Rameseder; Henning Hermjakob; Lennart Martens
Journal:  Proteomics       Date:  2009-09       Impact factor: 3.984

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