Evidence map›Paper›PMID 24980485›Full record

ArticleMolecular & cellular proteomics : MCP2014

The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience.

Johannes Griss, Andrew R Jones, Timo Sachsenberg, Mathias Walzer, Laurent Gatto, Jürgen Hartler, Gerhard G Thallinger, Reza M Salek, Christoph Steinbeck, Nadin Neuhauser and 13 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. Article
  6. Embedding FAIR Data Practices in Shared Core Resource Facilities.Journal of biomolecular techniques : JBT · 2026
    Review
  7. Article
  8. Review
  9. Open-Source and FAIR Research Software for Proteomics.Journal of proteome research · 2025
    Review
  10. The PRIDE database at 20 years: 2025 update.Nucleic acids research · 2025
    Article
  11. Article
  12. Communicating Mass Spectrometry Quality Information in mzQC with Python, R, and Java.Journal of the American Society for Mass Spectrometry · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Johannes GrissFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK; §Division of Immunology, Allergy and Infectious Diseases, Department of Dermatology, Medical University of Vienna, Vienna, Austria;
Andrew R Jones‖Institute of Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK;
Timo Sachsenberg**Center for Bioinformatics and Department of Computer Science, University of Tübingen, D-72076 Tübingen, Germany;
Mathias Walzer**Center for Bioinformatics and Department of Computer Science, University of Tübingen, D-72076 Tübingen, Germany;
Laurent Gatto‡‡Computational Proteomics Unit and Cambridge Centre for Proteomics, Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, CB2 1QR, Cambridge, UK;
Jürgen Hartler§§Institute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14/V, 8010 Graz, Austria; ¶¶Core Facility Bioinformatics, Austrian Centre of Industrial Biotechnology (ACIB GmbH), Petersgasse 14/V, 8010 Graz, Austria;
Gerhard G Thallinger§§Institute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14/V, 8010 Graz, Austria; ¶¶Core Facility Bioinformatics, Austrian Centre of Industrial Biotechnology (ACIB GmbH), Petersgasse 14/V, 8010 Graz, Austria;
Reza M SalekFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK;
Christoph SteinbeckFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK;
Nadin Neuhauser‖‖Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany;
Jürgen Cox‖‖Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany;
Steffen NeumannDepartment of Stress and Developmental Biology, Leibniz Institute of Plant Biochemistry, 06120 Halle (Saale), Germany;
Jun FanSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK;
Florian ReisingerFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK;
Qing-Wei XuFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK; College of Computer, Hubei University of Education, Wuhan, China;
Noemi Del ToroFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK;
Yasset Pérez-RiverolFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK;
Fawaz Ghali‖Institute of Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK;
Nuno BandeiraCenter for Computational Mass Spectrometry, University of California, San Diego, La Jolla, CA;
Ioannis XenariosSwiss-Prot group, SIB Swiss Institute of Bioinformatics, 1 Rue Michel Servet, 1211 Geneva, Switzerland; Vital-IT group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, Genopode 1015 Lausanne; Center of Integrative Genomics, University of Lausanne, Quartier Sorge Genopode, 1015 Lausanne;
Oliver Kohlbacher**Center for Bioinformatics and Department of Computer Science, University of Tübingen, D-72076 Tübingen, Germany; Quantitative Biology Center, University of Tübingen, D-72076 Tübingen, Germany.
Juan Antonio VizcaínoFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK; juan@ebi.ac.uk.
Henning HermjakobFrom the ‡European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, UK;

Funding

Overall (pp. 40-62)P41GM103485 · NIGMS · CORNELL UNIVERSITY · PI CERIONE, RICHARD A. · 2012 to 2018
$15.5M
TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
Biotechnology and Biological Sciences Research Council BB/H024654/1Biotechnology and Biological Sciences Research Council BB/I000909/1Biotechnology and Biological Sciences Research Council BB/I00095X/1Biotechnology and Biological Sciences Research Council BB/K01997X/1NIGMS NIH HHS 8P41GM103485-05NIGMS NIH HHS P41 GM103484NIGMS NIH HHS P41 GM103485Wellcome Trust WT085949MAWellcome Trust WT101477MA
6 · The paper itself

Abstract

The HUPO Proteomics Standards Initiative has developed several standardized data formats to facilitate data sharing in mass spectrometry (MS)-based proteomics. These allow researchers to report their complete results in a unified way. However, at present, there is no format to describe the final qualitative and quantitative results for proteomics and metabolomics experiments in a simple tabular format. Many downstream analysis use cases are only concerned with the final results of an experiment and require an easily accessible format, compatible with tools such as Microsoft Excel or R. We developed the mzTab file format for MS-based proteomics and metabolomics results to meet this need. mzTab is intended as a lightweight supplement to the existing standard XML-based file formats (mzML, mzIdentML, mzQuantML), providing a comprehensive summary, similar in concept to the supplemental material of a scientific publication. mzTab files can contain protein, peptide, and small molecule identifications together with experimental metadata and basic quantitative information. The format is not intended to store the complete experimental evidence but provides mechanisms to report results at different levels of detail. These range from a simple summary of the final results to a representation of the results including the experimental design. This format is ideally suited to make MS-based proteomics and metabolomics results available to a wider biological community outside the field of MS. Several software tools for proteomics and metabolomics have already adapted the format as an output format. The comprehensive mzTab specification document and extensive additional documentation can be found online.

Indexed as

Databases, ProteinSoftwareAccess to InformationMass SpectrometryMetabolomicsProteomicsUser-Computer Interface

Identifiers

PMID24980485
PMCPMC4189001

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.