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 accessAbstract
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.
Integrity signals
Registry
Cites
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.
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
Reactome knowledgebase of human biological pathways and processes
Matthews, L., Gopinath, G., Gillespie, M., Caudy, M., Croft, D., de Bono, B., Garapati, P., Hemish, J., Hermjakob, H., Jassal, B., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn863 · Cited by 873
Self-citationNCBI Reference Sequences: current status, policy and new initiatives
Pruitt, K. D., Tatusova, T., Klimke, W., & Maglott, D. R. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn721 · Cited by 736 · cited 1×
“…PRIDE to all known accession numbers (including older accession numbers that are no longer in use) for those proteins in the most important protein databases (including UniProt [30], IPI [31], Ensembl [32], and RefSeq [33], but also to some genomic databases such as WormBase [34] and FlyBase [35]).”
Background
Cited by
The Proteomics Identifications (PRIDE) database and associated tools: status in 2013
Vizcaíno, J. A., Côté, R. G., Csordas, A., Dianes, J. A., Fabregat, A., Foster, J. M., Griss, J., Alpi, E., Birim, M., Contell, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1262 · Cited by 1,918
Self-citationSelected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions
Picotti, P., & Aebersold, R. (2012) · Nature Methods · doi:10.1038/nmeth.2015 · Cited by 1,302
Histone serotonylation is a permissive modification that enhances TFIID binding to H3K4me3
Farrelly, L. A., Thompson, R. E., Zhao, S., Lepack, A. E., Lyu, Y., Bhanu, N. V., Zhang, B., Loh, Y.-H. E., Ramakrishnan, A., Vadodaria, K. C., et al. (2019) · Nature · doi:10.1038/s41586-019-1024-7 · Cited by 474
A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas
Farrah, T., Deutsch, E. W., Omenn, G. S., Campbell, D. S., Sun, Z., Bletz, J. A., Mallick, P., Katz, J. E., Malmström, J., Ossola, R., et al. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m110.006353 · Cited by 451
Proline: an efficient and user-friendly software suite for large-scale proteomics
Bouyssié, D., Hesse, A.-M., Mouton-Barbosa, E., Rompais, M., Macron, C., Carapito, C., Gonzalez de Peredo, A., Couté, Y., Dupierris, V., Burel, A., et al. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa118 · Cited by 300
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.