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UniProt archive.

Rasko Leinonen1, Federico Garcia Diez, David Binns

  • 1EMBL Outstation, The European Bioinformatics Institute (EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Bioinformatics (Oxford, England)
|March 27, 2004
PubMed
Summary
This summary is machine-generated.

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The UniProt Archive (UniParc) offers a comprehensive, non-redundant protein sequence database. It ensures data integrity by storing each unique sequence once with a stable identifier, simplifying cross-database searches.

Area of Science:

  • Bioinformatics
  • Proteomics
  • Database Management

Background:

  • Publicly accessible protein sequence resources are numerous and often redundant.
  • Efficiently searching and managing protein sequence data is crucial for biological research.
  • A unified, non-redundant database simplifies data retrieval and analysis.

Purpose of the Study:

  • To present the UniProt Archive (UniParc) as a comprehensive, non-redundant protein sequence database.
  • To describe the methodology for collecting, storing, and cross-referencing protein sequences.
  • To highlight the advantages of using UniParc for sequence searching and data integration.

Main Methods:

  • Daily collection and loading of new and updated protein sequences from public resources.

Related Experiment Videos

  • Assignment of a stable, unique protein identifier to each non-redundant sequence.
  • Creation of database cross-references to link sequences to their original sources.

    • Main Results:

    • UniParc provides the most comprehensive, non-redundant collection of protein sequences.
    • Each unique protein sequence is stored only once, ensuring data integrity.
    • Cross-references enable UniParc searches to be equivalent to searching all linked source databases.

    Conclusions:

    • UniParc serves as a central, reliable resource for protein sequence data.
    • Its non-redundant nature and cross-referencing capabilities streamline bioinformatics analyses.
    • Researchers can efficiently access and compare protein sequences across multiple databases via UniParc.