Evidence map›Paper›PMID 17945017›Full record

ArticleBMC bioinformatics2007

The Protein Identifier Cross-Referencing (PICR) service: reconciling protein identifiers across multiple source databases.

Richard G Côté, Philip Jones, Lennart Martens, Samuel Kerrien, Florian Reisinger, Quan Lin, Rasko Leinonen, Rolf Apweiler, Henning Hermjakob

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis.International journal of molecular sciences · 2020
    Review
  3. Article
  4. Article
  5. Data integration in biological research: an overview.Journal of biological research (Thessalonike, Greece) · 2015
    Review
  6. Tools for visualization and analysis of molecular networks, pathways, and -omics data.Advances and applications in bioinformatics and chemistry : AABC · 2015
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Design and application of a data-independent precursor and product ion repository.Journal of the American Society for Mass Spectrometry · 2012
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Richard G CôtéEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1QY, UK. rcote@ebi.ac.uk
Philip Jones
Lennart Martens
Samuel Kerrien
Florian Reisinger
Quan Lin
Rasko Leinonen
Rolf Apweiler
Henning Hermjakob

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEach major protein database uses its own conventions when assigning protein identifiers. Resolving the various, potentially unstable, identifiers that refer to identical proteins is a major challenge. This is a common problem when attempting to unify datasets that have been annotated with proteins from multiple data sources or querying data providers with one flavour of protein identifiers when the source database uses another. Partial solutions for protein identifier mapping exist but they are limited to specific species or techniques and to a very small number of databases. As a result, we have not found a solution that is generic enough and broad enough in mapping scope to suit our needs.

resultsWe have created the Protein Identifier Cross-Reference (PICR) service, a web application that provides interactive and programmatic (SOAP and REST) access to a mapping algorithm that uses the UniProt Archive (UniParc) as a data warehouse to offer protein cross-references based on 100% sequence identity to proteins from over 70 distinct source databases loaded into UniParc. Mappings can be limited by source database, taxonomic ID and activity status in the source database. Users can copy/paste or upload files containing protein identifiers or sequences in FASTA format to obtain mappings using the interactive interface. Search results can be viewed in simple or detailed HTML tables or downloaded as comma-separated values (CSV) or Microsoft Excel (XLS) files suitable for use in a local database or a spreadsheet. Alternatively, a SOAP interface is available to integrate PICR functionality in other applications, as is a lightweight REST interface.

conclusionWe offer a publicly available service that can interactively map protein identifiers and protein sequences to the majority of commonly used protein databases. Programmatic access is available through a standards-compliant SOAP interface or a lightweight REST interface. The PICR interface, documentation and code examples are available at http://www.ebi.ac.uk/Tools/picr.

Indexed as

Database Management SystemsDatabases, ProteinInternetUser-Computer InterfaceAlgorithmsAmino Acid SequenceInformation Storage and RetrievalMolecular Sequence DataProteinsSequence AlignmentSequence Analysis, ProteinProteins

Identifiers

PMID17945017
PMCPMC2151082

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.