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IPD-IMGT/HLA Database
The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polym...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145640/ https://www.ncbi.nlm.nih.gov/pubmed/31667505 http://dx.doi.org/10.1093/nar/gkz950 |
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author | Robinson, James Barker, Dominic J Georgiou, Xenia Cooper, Michael A Flicek, Paul Marsh, Steven G E |
author_facet | Robinson, James Barker, Dominic J Georgiou, Xenia Cooper, Michael A Flicek, Paul Marsh, Steven G E |
author_sort | Robinson, James |
collection | PubMed |
description | The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polymorphism seen exceed most other genes. Some of the genes have several thousand variants and are now termed hyperpolymorphic, rather than just simply polymorphic. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this information, providing the scientific and medical community access to the many variant sequences of this gene system, that are critical for the successful outcome of transplantation. The number of currently known variants, and dramatic increase in the number of new variants being identified has necessitated a dedicated resource with custom tools for curation and publication. The challenge for the database is to continue to provide a highly curated database of sequence variants, while supporting the increased number of submissions and complexity of sequences. In order to do this, traditional methods of accessing and presenting data will be challenged, and new methods will need to be utilized to keep pace with new discoveries. |
format | Online Article Text |
id | pubmed-7145640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71456402020-04-13 IPD-IMGT/HLA Database Robinson, James Barker, Dominic J Georgiou, Xenia Cooper, Michael A Flicek, Paul Marsh, Steven G E Nucleic Acids Res Database Issue The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polymorphism seen exceed most other genes. Some of the genes have several thousand variants and are now termed hyperpolymorphic, rather than just simply polymorphic. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this information, providing the scientific and medical community access to the many variant sequences of this gene system, that are critical for the successful outcome of transplantation. The number of currently known variants, and dramatic increase in the number of new variants being identified has necessitated a dedicated resource with custom tools for curation and publication. The challenge for the database is to continue to provide a highly curated database of sequence variants, while supporting the increased number of submissions and complexity of sequences. In order to do this, traditional methods of accessing and presenting data will be challenged, and new methods will need to be utilized to keep pace with new discoveries. Oxford University Press 2020-01-08 2019-10-31 /pmc/articles/PMC7145640/ /pubmed/31667505 http://dx.doi.org/10.1093/nar/gkz950 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Robinson, James Barker, Dominic J Georgiou, Xenia Cooper, Michael A Flicek, Paul Marsh, Steven G E IPD-IMGT/HLA Database |
title | IPD-IMGT/HLA Database |
title_full | IPD-IMGT/HLA Database |
title_fullStr | IPD-IMGT/HLA Database |
title_full_unstemmed | IPD-IMGT/HLA Database |
title_short | IPD-IMGT/HLA Database |
title_sort | ipd-imgt/hla database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145640/ https://www.ncbi.nlm.nih.gov/pubmed/31667505 http://dx.doi.org/10.1093/nar/gkz950 |
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