Evidence map›Paper›PMID 22949509›Full record

ArticleMolecular & cellular proteomics : MCP2012

The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium.

Richard G Côté, Johannes Griss, José A Dianes, Rui Wang, James C Wright, Henk W P van den Toorn, Bas van Breukelen, Albert J R Heck, Niels Hulstaert, Lennart Martens and 7 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–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

65 citing papers in PubMed.

  1. Dear-OMG: An Omics-General Compression Method for Genomics, Proteomics and Metabolomics Data.Interdisciplinary sciences, computational life sciences · 2026
    Article
  2. Proteomic Analysis of the Differential Response ofAntibiotics (Basel, Switzerland) · 2025
    Article
  3. ProPept-MT: A Multi-Task Learning Model for Peptide Feature Prediction.International journal of molecular sciences · 2024
    Article
  4. Article
  5. Exposure to theMicrobiology (Reading, England) · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. TheMolecular & cellular proteomics : MCP · 2020
    Article
  10. Article
  11. Microbiology (Reading, England) · 2020
    Article
  12. Article
  13. Exposure ofJournal of fungi (Basel, Switzerland) · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Proteomic Analysis of the Responses ofJournal of fungi (Basel, Switzerland) · 2019
    Article
  19. iProX: an integrated proteome resource.Nucleic acids research · 2019
    Article
  20. Article

5 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

17 authors.

Richard G CôtéProteomics Services Team, EMBL Outstation, European Bioinformatics Institute (EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Johannes Griss
José A Dianes
Rui Wang
James C Wright
Henk W P van den Toorn
Bas van Breukelen
Albert J R Heck
Niels Hulstaert
Lennart Martens
Florian Reisinger
Attila Csordas
David Ovelleiro
Yasset Perez-Rivevol
Harald Barsnes
Henning Hermjakob
Juan Antonio Vizcaíno

Funding

Biotechnology and Biological Sciences Research Council BB/I024204/1Wellcome TrustWellcome Trust WT085949MA
6 · The paper itself

Abstract

The original PRIDE Converter tool greatly simplified the process of submitting mass spectrometry (MS)-based proteomics data to the PRIDE database. However, after much user feedback, it was noted that the tool had some limitations and could not handle several user requirements that were now becoming commonplace. This prompted us to design and implement a whole new suite of tools that would build on the successes of the original PRIDE Converter and allow users to generate submission-ready, well-annotated PRIDE XML files. The PRIDE Converter 2 tool suite allows users to convert search result files into PRIDE XML (the format needed for performing submissions to the PRIDE database), generate mzTab skeleton files that can be used as a basis to submit quantitative and gel-based MS data, and post-process PRIDE XML files by filtering out contaminants and empty spectra, or by merging several PRIDE XML files together. All the tools have both a graphical user interface that provides a dialog-based, user-friendly way to convert and prepare files for submission, as well as a command-line interface that can be used to integrate the tools into existing or novel pipelines, for batch processing and power users. The PRIDE Converter 2 tool suite will thus become a cornerstone in the submission process to PRIDE and, by extension, to the ProteomeXchange consortium of MS-proteomics data repositories.

Indexed as

Databases, ProteinElectronic Data ProcessingMass SpectrometryProteomicsProteomeSoftwareSoftware DesignUser-Computer InterfaceProteome

Identifiers

PMID22949509
PMCPMC3518121

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.