Scinovex
article Open AccessTop 1% cited

The PRIDE database and related tools and resources in 2019: improving support for quantification data

Nucleic Acids Research · 2018 · Vol. 47(D1) · pp. D442–D450
Yasset Pérez‐RiverolAttila CsordásJingwen BaiManuel Bernal LlinaresSuresh HewapathiranaDeepti J KunduAvinash InugantiJohannes GrissGerhard MayerMartin EisenacherEnrique PérezJulian UszkoreitJulianus PfeufferTimo SachsenbergŞule YılmazShivani TiwaryJürgen CoxEnrique AudainMathias WalzerAndrew F. JarnuczakTobias TernentAlvis BrāzmaJuan Antonio Vizcaíno

Abstract

The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world's largest data repository of mass spectrometry-based proteomics data, and is one of the founding members of the global ProteomeXchange (PX) consortium. In this manuscript, we summarize the developments in PRIDE resources and related tools since the previous update manuscript was published in Nucleic Acids Research in 2016. In the last 3 years, public data sharing through PRIDE (as part of PX) has definitely become the norm in the field. In parallel, data re-use of public proteomics data has increased enormously, with multiple applications. We first describe the new architecture of PRIDE Archive, the archival component of PRIDE. PRIDE Archive and the related data submission framework have been further developed to support the increase in submitted data volumes and additional data types. A new scalable and fault tolerant storage backend, Application Programming Interface and web interface have been implemented, as a part of an ongoing process. Additionally, we emphasize the improved support for quantitative proteomics data through the mzTab format. At last, we outline key statistics on the current data contents and volume of downloads, and how PRIDE data are starting to be disseminated to added-value resources including Ensembl, UniProt and Expression Atlas.

Advanced Proteomics Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesBiologyDatabasePrideComputational biologyData scienceBioinformaticsComputer science

MeSH terms

PeptidesSoftwareMass SpectrometryDatabases, ProteinProteomics

Funding

  • Wellcome
  • Thor Industries
  • National Institutes of Health
  • Biotechnology and Biological Sciences Research Council
  • Horizon 2020
Citations
7,331
FWCI
573.86
field-weighted impact
References
42
Percentile
100%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.