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The IPD-IMGT/HLA Database
It is 24 years since the IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, was first released, providing the HLA community with a searchable repository of highly curated HLA sequences. The database now contains over 35 000 alleles of the human Major Histocompatibility Complex (MHC) named by...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825470/ https://www.ncbi.nlm.nih.gov/pubmed/36350643 http://dx.doi.org/10.1093/nar/gkac1011 |
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author | Barker, Dominic J Maccari, Giuseppe Georgiou, Xenia Cooper, Michael A Flicek, Paul Robinson, James Marsh, Steven G E |
author_facet | Barker, Dominic J Maccari, Giuseppe Georgiou, Xenia Cooper, Michael A Flicek, Paul Robinson, James Marsh, Steven G E |
author_sort | Barker, Dominic J |
collection | PubMed |
description | It is 24 years since the IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, was first released, providing the HLA community with a searchable repository of highly curated HLA sequences. The database now contains over 35 000 alleles of the human Major Histocompatibility Complex (MHC) named by the WHO Nomenclature Committee for Factors of the HLA System. This complex contains the most polymorphic genes in the human genome and is now considered hyperpolymorphic. The IPD-IMGT/HLA Database provides a stable and user-friendly repository for this information. Uptake of Next Generation Sequencing technology in recent years has driven an increase in the number of alleles and the length of sequences submitted. As the size of the database has grown the traditional methods of accessing and presenting this data have been challenged, in response, we have developed a suite of tools providing an enhanced user experience to our traditional web-based users while creating new programmatic access for our bioinformatics user base. This suite of tools is powered by the IPD-API, an Application Programming Interface (API), providing scalable and flexible access to the database. The IPD-API provides a stable platform for our future development allowing us to meet the future challenges of the HLA field and needs of the community. |
format | Online Article Text |
id | pubmed-9825470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254702023-01-10 The IPD-IMGT/HLA Database Barker, Dominic J Maccari, Giuseppe Georgiou, Xenia Cooper, Michael A Flicek, Paul Robinson, James Marsh, Steven G E Nucleic Acids Res Database Issue It is 24 years since the IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, was first released, providing the HLA community with a searchable repository of highly curated HLA sequences. The database now contains over 35 000 alleles of the human Major Histocompatibility Complex (MHC) named by the WHO Nomenclature Committee for Factors of the HLA System. This complex contains the most polymorphic genes in the human genome and is now considered hyperpolymorphic. The IPD-IMGT/HLA Database provides a stable and user-friendly repository for this information. Uptake of Next Generation Sequencing technology in recent years has driven an increase in the number of alleles and the length of sequences submitted. As the size of the database has grown the traditional methods of accessing and presenting this data have been challenged, in response, we have developed a suite of tools providing an enhanced user experience to our traditional web-based users while creating new programmatic access for our bioinformatics user base. This suite of tools is powered by the IPD-API, an Application Programming Interface (API), providing scalable and flexible access to the database. The IPD-API provides a stable platform for our future development allowing us to meet the future challenges of the HLA field and needs of the community. Oxford University Press 2022-11-09 /pmc/articles/PMC9825470/ /pubmed/36350643 http://dx.doi.org/10.1093/nar/gkac1011 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Barker, Dominic J Maccari, Giuseppe Georgiou, Xenia Cooper, Michael A Flicek, Paul Robinson, James Marsh, Steven G E The IPD-IMGT/HLA Database |
title | The IPD-IMGT/HLA Database |
title_full | The IPD-IMGT/HLA Database |
title_fullStr | The IPD-IMGT/HLA Database |
title_full_unstemmed | The IPD-IMGT/HLA Database |
title_short | The IPD-IMGT/HLA Database |
title_sort | ipd-imgt/hla database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825470/ https://www.ncbi.nlm.nih.gov/pubmed/36350643 http://dx.doi.org/10.1093/nar/gkac1011 |
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