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Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation

Published on: September 6, 2017

The IPD-IMGT/HLA Database.

Dominic J Barker^1,2, Giuseppe Maccari³, Xenia Georgiou¹

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

Nucleic Acids Research

|November 9, 2022

Summary

This summary is machine-generated.

The IPD-IMGT/HLA Database now offers enhanced access to over 35,000 human Major Histocompatibility Complex (MHC) alleles. New tools and an API improve user experience and programmatic access to this hyperpolymorphic gene data.

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Area of Science:

Immunogenetics
Bioinformatics
Genomics

Background:

The IPD-IMGT/HLA Database has served the HLA research community for 24 years.
It archives curated sequences for the human Major Histocompatibility Complex (MHC), the most polymorphic region in the human genome.
The increasing number and length of submitted sequences, driven by Next Generation Sequencing, have challenged traditional data access methods.

Purpose of the Study:

To enhance user experience for accessing and presenting the growing volume of HLA data.
To provide new programmatic access for bioinformatics users.
To ensure scalable and flexible access to the IPD-IMGT/HLA Database.

Main Methods:

Development of a suite of tools for enhanced user experience.
Implementation of an Application Programming Interface (API), the IPD-API, for programmatic data access.
Leveraging Next Generation Sequencing technologies to manage increased data submission.

Main Results:

The database now contains over 35,000 human Major Histocompatibility Complex (MHC) alleles.
A new suite of tools and the IPD-API have been developed.
Enhanced user experience and new programmatic access options are available.

Conclusions:

The IPD-IMGT/HLA Database has evolved to meet the challenges of increasing data volume and complexity.
The new IPD-API provides a stable platform for future development in the HLA field.
Improved data accessibility supports the needs of both traditional and bioinformatics users in the HLA community.