Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 237

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A guide to the Proteomics Identifications Database proteomics data repository

Open access
Vizcaíno, Juan Antonio, Côté, Richard, Reisinger, Florian, M. Foster, Joseph, Mueller, Michael, Rameseder, Jonathan, Hermjakob, Henning, Martens, Lennart·2009·PROTEOMICS

Abstract

The Proteomics Identifications Database (PRIDE, www.ebi.ac.uk/pride) is one of the main repositories of MS derived proteomics data. Here, we point out the main functionalities of PRIDE both as a submission repository and as a source for proteomics data. We describe the main features for data retrieval and visualization available through the PRIDE web and BioMart interfaces. We also highlight the mechanism by which tailored queries in the BioMart can join PRIDE to other resources such as Reactome, Ensembl or UniProt to execute extremely powerful across‐domain queries. We then present the latest improvements in the PRIDE submission process, using the new easy‐to‐use, platform‐independent graphical user interface submission tool PRIDE Converter. Finally, we speak about future plans and the role of PRIDE in the ProteomExchange consortium.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/pmic.200900402

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 237

Metadata

Authors
Vizcaíno, J. A., Côté, R., Reisinger, F., M. Foster, J., Mueller, M., Rameseder, J., Hermjakob, H., & Martens, L.
Venue
PROTEOMICS
Publisher
Wiley
Published
2009-09
Volume
9
Issue
18
Pages
4276-4283
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2150818376
Cited by
237
References
2
FWCI
20.02
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A guide to the Proteomics Identifications Database proteomics data repository. https://app.cochat.ai/papers/10.1002/pmic.200900402
The paper
Vizcaíno, J. A., Côté, R., Reisinger, F., M. Foster, J., Mueller, M., Rameseder, J., Hermjakob, H., & Martens, L. (2009). A guide to the Proteomics Identifications Database proteomics data repository. PROTEOMICS. https://doi.org/10.1002/pmic.200900402

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.