Maccari Giuseppe, Robinson James, Ballingall Keith, Guethlein Lisbeth A, Grimholt Unni, Kaufman Jim, Ho Chak-Sum, de Groot Natasja G, Flicek Paul, Bontrop Ronald E, Hammond John A, Marsh Steven G E
The Pirbright Institute, Pirbright, Woking, Surrey, GU24 0NF, UK.
Anthony Nolan Research Institute (ANRI), Royal Free Hospital, London, NW3 2QG, UK.
Nucleic Acids Res. 2017 Jan 4;45(D1):D860-D864. doi: 10.1093/nar/gkw1050. Epub 2016 Nov 28.
The IPD-MHC Database project (http://www.ebi.ac.uk/ipd/mhc/) collects and expertly curates sequences of the major histocompatibility complex from non-human species and provides the infrastructure and tools to enable accurate analysis. Since the first release of the database in 2003, IPD-MHC has grown and currently hosts a number of specific sections, with more than 7000 alleles from 70 species, including non-human primates, canines, felines, equids, ovids, suids, bovins, salmonids and murids. These sequences are expertly curated and made publicly available through an open access website. The IPD-MHC Database is a key resource in its field, and this has led to an average of 1500 unique visitors and more than 5000 viewed pages per month. As the database has grown in size and complexity, it has created a number of challenges in maintaining and organizing information, particularly the need to standardize nomenclature and taxonomic classification, while incorporating new allele submissions. Here, we describe the latest database release, the IPD-MHC 2.0 and discuss planned developments. This release incorporates sequence updates and new tools that enhance database queries and improve the submission procedure by utilizing common tools that are able to handle the varied requirements of each MHC-group.
IPD-MHC数据库项目(http://www.ebi.ac.uk/ipd/mhc/)收集并精心整理非人类物种主要组织相容性复合体的序列,并提供基础设施和工具以实现准确分析。自2003年首次发布该数据库以来,IPD-MHC不断发展,目前设有多个特定板块,包含来自70个物种的7000多个等位基因,这些物种包括非人类灵长类动物、犬类、猫科动物、马科动物、羊科动物、猪科动物、牛科动物、鲑科动物和鼠科动物。这些序列经过精心整理,并通过开放获取网站向公众提供。IPD-MHC数据库是该领域的关键资源,这使得每月平均有1500名独立访客,浏览页面超过5000个。随着数据库规模和复杂性的增加,在维护和整理信息方面带来了诸多挑战,特别是在纳入新的等位基因提交时,需要对命名法和分类学分类进行标准化。在此,我们描述了数据库的最新版本IPD-MHC 2.0,并讨论了计划中的发展。此版本纳入了序列更新和新工具,通过利用能够处理每个MHC组不同要求的通用工具,增强了数据库查询并改进了提交程序。