Literature DB >> 21063948

Spectra, chromatograms, Metadata: mzML-the standard data format for mass spectrometer output.

Michael Turewicz1, Eric W Deutsch.   

Abstract

This chapter describes Mass Spectrometry Markup Language (mzML), an XML-based and vendor-neutral standard data format for storage and exchange of mass spectrometer output like raw spectra and peak lists. It is intended to replace its two precursor data formats (mzData and mzXML), which had been developed independently a few years earlier. Hence, with the release of mzML, the problem of having two different formats for the same purposes is solved, and with it the duplicated effort of maintaining and supporting two data formats. The new format has been developed by a broad-based consortium of major instrument vendors, software vendors, and academic researchers under the aegis of the Human Proteome Organisation (HUPO), Proteomics Standards Initiative (PSI), with full participation of the main developers of the precursor formats. This comprehensive approach helped mzML to become a generally accepted standard. Furthermore, the collaborative development insured that mzML has adopted the best features of its precursor formats. In this chapter, we discuss mzML's development history, its design principles and use cases, as well as its main building components. We also present the available documentation, an example file, and validation software for mzML.

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Year:  2011        PMID: 21063948     DOI: 10.1007/978-1-60761-987-1_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

Review 1.  Review of software tools for design and analysis of large scale MRM proteomic datasets.

Authors:  Christopher M Colangelo; Lisa Chung; Can Bruce; Kei-Hoi Cheung
Journal:  Methods       Date:  2013-05-21       Impact factor: 3.608

Review 2.  Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.

Authors:  Can Bruce; Kathryn Stone; Erol Gulcicek; Kenneth Williams
Journal:  Curr Protoc Bioinformatics       Date:  2013-03

Review 3.  Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

Authors:  Gerhard Mayer; Andrew R Jones; Pierre-Alain Binz; Eric W Deutsch; Sandra Orchard; Luisa Montecchi-Palazzi; Juan Antonio Vizcaíno; Henning Hermjakob; David Oveillero; Randall Julian; Christian Stephan; Helmut E Meyer; Martin Eisenacher
Journal:  Biochim Biophys Acta       Date:  2013-02-19

4.  PERCEPTRON: an open-source GPU-accelerated proteoform identification pipeline for top-down proteomics.

Authors:  Muhammad Farhan Khalid; Kanzal Iman; Amna Ghafoor; Mujtaba Saboor; Ahsan Ali; Urwa Muaz; Abdul Rehman Basharat; Taha Tahir; Muhammad Abubakar; Momina Amer Akhter; Waqar Nabi; Wim Vanderbauwhede; Fayyaz Ahmad; Bilal Wajid; Safee Ullah Chaudhary
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

Review 5.  A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.

Authors:  Nils Hoffmann; Gerhard Mayer; Canan Has; Dominik Kopczynski; Fadi Al Machot; Dominik Schwudke; Robert Ahrends; Katrin Marcus; Martin Eisenacher; Michael Turewicz
Journal:  Metabolites       Date:  2022-06-23

Review 6.  Navigating freely-available software tools for metabolomics analysis.

Authors:  Rachel Spicer; Reza M Salek; Pablo Moreno; Daniel Cañueto; Christoph Steinbeck
Journal:  Metabolomics       Date:  2017-08-09       Impact factor: 4.290

Review 7.  Proteome Discoverer-A Community Enhanced Data Processing Suite for Protein Informatics.

Authors:  Benjamin C Orsburn
Journal:  Proteomes       Date:  2021-03-23
  7 in total

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