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IMGT/LIGM-DB:一种用于改善免疫遗传学数据库一致性和数据分布的系统化方法。

IMGT/LIGM-DB: a systematized approach for ImMunoGeneTics database coherence and data distribution improvement.

作者信息

Giudicelli V, Chaume D, Lefranc M P

机构信息

Laboratoire d'ImmunoGénétique Moléculaire, LIGM, UMR 5535 (CNRS, Université Montpellier II), France.

出版信息

Proc Int Conf Intell Syst Mol Biol. 1998;6:59-68.

PMID:9783210
Abstract

IMGT, the international ImMunoGeneTics database (http:(/)/imgt.cnusc.fr:8104), created by Marie-Paule Lefranc, Montpellier, France, is an integrated database specializing in antigen receptors and MHC of all vertebrate species. IMGT includes LIGM-DB, developed for Immunoglobulins and T-cell-receptors. LIGM-DB distributes high quality data with an important increment value added by the LIGM expert annotations. LIGM-DB accurate immunogenetics data is based on the standardization of biological knowledge related to keywords, annotation labels and gene identification. The management of such data resulting from biological research requires an high flexible implementation to quickly reflect up-to-date results, and to integrate new knowledge. We developed a systematized approach and defined LIGM-DB systems which manage and realize the major tasks for the database survey. In this paper, we will focus on the coherence system, which became absolutely crucial to maintain data quality as the database is growing up and as the biological knowledge continues to improve, and on the distribution system which makes LIGM-DB data easy to access, download and reuse. Efforts have been done to improve the data distribution procedures and adapt them to the current bioinformatics needs. Recently, we have developed an API which allows Java programmers to remotely access and integrate LIGM-DB data in other computer environments.

摘要

国际免疫基因数据库(IMGT,网址:http://imgt.cnusc.fr:8104)由法国蒙彼利埃的玛丽 - 保罗·勒弗朗创建,是一个专门收录所有脊椎动物物种抗原受体和主要组织相容性复合体(MHC)的综合数据库。IMGT包含为免疫球蛋白和T细胞受体开发的LIGM - DB。LIGM - DB发布高质量数据,LIGM专家注释增添了重要的增值内容。LIGM - DB准确的免疫遗传学数据基于与关键词、注释标签和基因识别相关的生物学知识标准化。管理此类生物学研究产生的数据需要高度灵活的实现方式,以便快速反映最新结果并整合新知识。我们开发了一种系统化方法并定义了LIGM - DB系统,该系统管理并实现数据库调查的主要任务。在本文中,我们将重点关注随着数据库不断发展以及生物学知识持续完善,对维持数据质量变得至关重要的一致性系统,以及使LIGM - DB数据易于访问、下载和重用的分发系统。我们已努力改进数据分发程序并使其适应当前的生物信息学需求。最近,我们开发了一种应用程序编程接口(API),允许Java程序员在其他计算机环境中远程访问和整合LIGM - DB数据。

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