IPD-IMGT/HLA Database
Abstract 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...
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| Vydáno v: | Nucleic acids research Ročník 48; číslo D1; s. D948 - D955 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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England
Oxford University Press
08.01.2020
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| ISSN: | 0305-1048, 1362-4962, 1362-4962 |
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| Abstract | Abstract
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. |
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| AbstractList | 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. 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.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. Abstract 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. |
| Author | Georgiou, Xenia Marsh, Steven G E Cooper, Michael A Barker, Dominic J Robinson, James Flicek, Paul |
| AuthorAffiliation | 2 UCL Cancer Institute, University College London (UCL) , London, UK 1 Anthony Nolan Research Institute , London, UK 3 European Molecular Biology Laboratory, European Bioinformatics Institute , Cambridge, UK |
| AuthorAffiliation_xml | – name: 2 UCL Cancer Institute, University College London (UCL) , London, UK – name: 3 European Molecular Biology Laboratory, European Bioinformatics Institute , Cambridge, UK – name: 1 Anthony Nolan Research Institute , London, UK |
| Author_xml | – sequence: 1 givenname: James orcidid: 0000-0002-2187-5944 surname: Robinson fullname: Robinson, James email: james.robinson@anthonynolan.org organization: Anthony Nolan Research Institute, London, UK – sequence: 2 givenname: Dominic J surname: Barker fullname: Barker, Dominic J organization: Anthony Nolan Research Institute, London, UK – sequence: 3 givenname: Xenia surname: Georgiou fullname: Georgiou, Xenia organization: Anthony Nolan Research Institute, London, UK – sequence: 4 givenname: Michael A surname: Cooper fullname: Cooper, Michael A organization: Anthony Nolan Research Institute, London, UK – sequence: 5 givenname: Paul orcidid: 0000-0002-3897-7955 surname: Flicek fullname: Flicek, Paul organization: European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK – sequence: 6 givenname: Steven G E surname: Marsh fullname: Marsh, Steven G E email: steven.marsh@ucl.ac.uk organization: Anthony Nolan Research Institute, London, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31667505$$D View this record in MEDLINE/PubMed |
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Biol. doi: 10.1007/978-1-4614-9437-9_7 |
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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 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... |
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| SubjectTerms | Alleles Computational Biology - methods Database Issue Databases, Genetic High-Throughput Nucleotide Sequencing Histocompatibility Antigens - genetics Humans Major Histocompatibility Complex - genetics Software Web Browser |
| Title | IPD-IMGT/HLA Database |
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