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免疫球蛋白和 T 细胞受体基因数据库(IMGT)/人类白细胞抗原数据库(HLA)。

The IPD-IMGT/HLA Database.

机构信息

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

UCL Cancer Institute, University College London (UCL), Royal Free Campus, Pond Street, London, NW3 2QG, UK.

出版信息

Nucleic Acids Res. 2023 Jan 6;51(D1):D1053-D1060. doi: 10.1093/nar/gkac1011.

Abstract

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.

摘要

自 IPD-IMGT/HLA 数据库(http://www.ebi.ac.uk/ipd/imgt/hla/)首次发布以来,已经过去了 24 年,该数据库为 HLA 社区提供了一个可搜索的高度编辑的 HLA 序列存储库。该数据库现在包含了超过 35000 个人类主要组织相容性复合体(MHC)的等位基因,这些等位基因由世界卫生组织 HLA 系统命名因子委员会命名。这个复合体包含了人类基因组中最多态性的基因,现在被认为是超多态的。IPD-IMGT/HLA 数据库为这些信息提供了一个稳定且用户友好的存储库。近年来,下一代测序技术的应用推动了等位基因数量和提交序列长度的增加。随着数据库规模的不断扩大,传统的访问和呈现这些数据的方法受到了挑战。作为回应,我们开发了一套工具,为我们的传统基于网络的用户提供了增强的用户体验,同时为我们的生物信息学用户群创建了新的编程访问方式。这套工具由 IPD-API 提供支持,IPD-API 是一个应用程序编程接口(API),为数据库提供了可扩展和灵活的访问。IPD-API 为我们的未来发展提供了一个稳定的平台,使我们能够应对 HLA 领域的未来挑战和社区的需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e24c/9825470/a00d09c8bd03/gkac1011fig1.jpg

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