Evidence map›Paper›PMID 25158685›Full record

ReviewProteomics2015

Making proteomics data accessible and reusable: current state of proteomics databases and repositories.

Yasset Perez-Riverol, Emanuele Alpi, Rui Wang, Henning Hermjakob, Juan Antonio Vizcaíno

Abstract readReview
In one paragraph

Review in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Profiler: an open web platform for multi-omics analysis.Bioinformatics (Oxford, England) · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. Integrated data-driven biotechnology research environments.Database : the journal of biological databases and curation · 2025
    Review
  11. The PRIDE database at 20 years: 2025 update.Nucleic acids research · 2025
    Article
  12. Review
  13. Carotenoids in Health as Studied by Omics-Related Endpoints.Advances in nutrition (Bethesda, Md.) · 2023
    Review
  14. Article
  15. Mass spectrometry-based retina proteomics.Mass spectrometry reviews · 2023
    Review
  16. Article
  17. Grad-seq analysis ofmicroLife · 2023
    Article
  18. Article
  19. Pathway Analysis for Cancer Research and Precision Oncology Applications.Advances in experimental medicine and biology · 2022
    Article
  20. Review

28 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

5 authors.

Yasset Perez-RiverolEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Emanuele Alpi
Rui Wang
Henning Hermjakob
Juan Antonio Vizcaíno

Funding

Biotechnology and Biological Sciences Research Council BB/I000909/1Biotechnology and Biological Sciences Research Council BB/I00095X/1Biotechnology and Biological Sciences Research Council BB/K01997X/1Wellcome TrustWellcome Trust WT101477MA
6 · The paper itself

Abstract

Compared to other data-intensive disciplines such as genomics, public deposition and storage of MS-based proteomics, data are still less developed due to, among other reasons, the inherent complexity of the data and the variety of data types and experimental workflows. In order to address this need, several public repositories for MS proteomics experiments have been developed, each with different purposes in mind. The most established resources are the Global Proteome Machine Database (GPMDB), PeptideAtlas, and the PRIDE database. Additionally, there are other useful (in many cases recently developed) resources such as ProteomicsDB, Mass Spectrometry Interactive Virtual Environment (MassIVE), Chorus, MaxQB, PeptideAtlas SRM Experiment Library (PASSEL), Model Organism Protein Expression Database (MOPED), and the Human Proteinpedia. In addition, the ProteomeXchange consortium has been recently developed to enable better integration of public repositories and the coordinated sharing of proteomics information, maximizing its benefit to the scientific community. Here, we will review each of the major proteomics resources independently and some tools that enable the integration, mining and reuse of the data. We will also discuss some of the major challenges and current pitfalls in the integration and sharing of the data.

Indexed as

Database Management SystemsDatabases, ProteinProteomicsMass SpectrometryBioinformaticsDatabasesMSRepositories

Identifiers

PMID25158685
PMCPMC4409848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.