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Related Experiment Videos

IPD--the Immuno Polymorphism Database.

James Robinson1, Matthew J Waller, Peter Stoehr

  • 1Anthony Nolan Research Institute, Royal Free Hospital, Pond Street, Hampstead, London NW3 2QG, UK.

Nucleic Acids Research
|December 21, 2004
PubMed
Summary
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The Immuno Polymorphism Database (IPD) centralizes polymorphic immune system gene data. It offers curated resources for Killer-cell Immunoglobulin-like Receptors, Major Histocompatibility Complex, platelet alloantigens, and tumor cell lines.

Area of Science:

  • Immunoinformatics
  • Genomics
  • Bioinformatics

Background:

  • The study of polymorphic genes in the immune system is crucial for understanding immune responses and diseases.
  • Specialized databases are needed to manage and disseminate complex genetic data related to immune function.

Purpose of the Study:

  • To introduce and describe the Immuno Polymorphism Database (IPD) as a centralized resource for immunogenetic data.
  • To highlight the structure, content, and accessibility of the IPD and its constituent databases.

Main Methods:

  • The IPD project collaborates with expert groups and nomenclature committees for data curation and submission.
  • Data are stored in a relational database structure, with similar sections sharing common formats for efficiency.
  • Online access is provided via a website and FTP directory, with data available for download in various formats.

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Main Results:

  • The IPD comprises four key databases: IPD-KIR (Killer-cell Immunoglobulin-like Receptors), IPD-MHC (Major Histocompatibility Complex), IPD-HPA (platelet alloantigens), and IPD-ESTAB (tumor cell lines).
  • A shared database structure facilitates data submission and retrieval across different IPD sections.
  • Data are integrated with widely used bioinformatics tools like SRS, BLAST, and FASTA for enhanced searchability.

Conclusions:

  • The IPD serves as a valuable, publicly accessible resource for researchers studying immune system polymorphism.
  • Standardized data structures and integration with search engines improve data accessibility and utility for the scientific community.