Literature DB >> 17121776

ProteomeCommons.org IO Framework: reading and writing multiple proteomics data formats.

J A Falkner1, J W Falkner, P C Andrews.   

Abstract

MOTIVATION: Effective use of proteomics data, specifically mass spectrometry data, relies on the ability to read and write the many mass spectrometer file formats. Even with mass spectrometer vendor-specific libraries and vendor-neutral file formats, such as mzXML and mzData it can be difficult to extract raw data files in a form suitable for batch processing and basic research. Introduced here are the ProteomeCommons.org Input and Output Framework, abbreviated to IO Framework, which is designed to abstractly represent mass spectrometry data. This project is a public, open-source, free-to-use framework that supports most of the mass spectrometry data formats, including current formats, legacy formats and proprietary formats that require a vendor-specific library in order to operate. The IO Framework includes an on-line tool for non-programmers and a set of libraries that developers may use to convert between various proteomics file formats. AVAILABILITY: The current source-code and documentation for the ProteomeCommons.org IO Framework is freely available at http://www.proteomecommons.org/current/531/

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Year:  2006        PMID: 17121776     DOI: 10.1093/bioinformatics/btl573

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

1.  An efficient data format for mass spectrometry-based proteomics.

Authors:  Anuj R Shah; Jennifer Davidson; Matthew E Monroe; Anoop M Mayampurath; William F Danielson; Yan Shi; Aaron C Robinson; Brian H Clowers; Mikhail E Belov; Gordon A Anderson; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2010-07-07       Impact factor: 3.109

2.  Peptide identification from mixture tandem mass spectra.

Authors:  Jian Wang; Josué Pérez-Santiago; Jonathan E Katz; Parag Mallick; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2010-03-27       Impact factor: 5.911

3.  Coupled global and targeted proteomics of human embryonic stem cells during induced differentiation.

Authors:  Anastasia K Yocum; Theresa E Gratsch; Nancy Leff; John R Strahler; Christie L Hunter; Angela K Walker; George Michailidis; Gilbert S Omenn; K Sue O'Shea; Philip C Andrews
Journal:  Mol Cell Proteomics       Date:  2008-02-26       Impact factor: 5.911

4.  DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

5.  Advanced identification of proteins in uncharacterized proteomes by pulsed in vivo stable isotope labeling-based mass spectrometry.

Authors:  Mario Looso; Thilo Borchardt; Marcus Krüger; Thomas Braun
Journal:  Mol Cell Proteomics       Date:  2010-02-05       Impact factor: 5.911

6.  Peptide identification by database search of mixture tandem mass spectra.

Authors:  Jian Wang; Philip E Bourne; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2011-08-23       Impact factor: 5.911

7.  OpenChrom: a cross-platform open source software for the mass spectrometric analysis of chromatographic data.

Authors:  Philip Wenig; Juergen Odermatt
Journal:  BMC Bioinformatics       Date:  2010-07-30       Impact factor: 3.169

8.  BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry.

Authors:  Yuan Cao; Na Wang; Xiaomin Ying; Ailing Li; Hengsha Wang; Xuemin Zhang; Wuju Li
Journal:  BMC Med Inform Decis Mak       Date:  2009-02-17       Impact factor: 2.796

9.  SIRIUS: decomposing isotope patterns for metabolite identification.

Authors:  Sebastian Böcker; Matthias C Letzel; Zsuzsanna Lipták; Anton Pervukhin
Journal:  Bioinformatics       Date:  2008-11-17       Impact factor: 6.937

10.  Human Proteinpedia: a unified discovery resource for proteomics research.

Authors:  Kumaran Kandasamy; Shivakumar Keerthikumar; Renu Goel; Suresh Mathivanan; Nandini Patankar; Beema Shafreen; Santosh Renuse; Harsh Pawar; Y L Ramachandra; Pradip Kumar Acharya; Prathibha Ranganathan; Raghothama Chaerkady; T S Keshava Prasad; Akhilesh Pandey
Journal:  Nucleic Acids Res       Date:  2008-10-23       Impact factor: 16.971

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