Vallenet David, Labarre Laurent, Rouy Zoé, Barbe Valérie, Bocs Stéphanie, Cruveiller Stéphane, Lajus Aurélie, Pascal Géraldine, Scarpelli Claude, Médigue Claudine
Atelier de Génomique Comparative, CNRS-UMR8030, 2 rue Gaston Crémieux, 91057 Evry, Cedex, France.
Nucleic Acids Res. 2006 Jan 10;34(1):53-65. doi: 10.1093/nar/gkj406. Print 2006.
Magnifying Genomes (MaGe) is a microbial genome annotation system based on a relational database containing information on bacterial genomes, as well as a web interface to achieve genome annotation projects. Our system allows one to initiate the annotation of a genome at the early stage of the finishing phase. MaGe's main features are (i) integration of annotation data from bacterial genomes enhanced by a gene coding re-annotation process using accurate gene models, (ii) integration of results obtained with a wide range of bioinformatics methods, among which exploration of gene context by searching for conserved synteny and reconstruction of metabolic pathways, (iii) an advanced web interface allowing multiple users to refine the automatic assignment of gene product functions. MaGe is also linked to numerous well-known biological databases and systems. Our system has been thoroughly tested during the annotation of complete bacterial genomes (Acinetobacter baylyi ADP1, Pseudoalteromonas haloplanktis, Frankia alni) and is currently used in the context of several new microbial genome annotation projects. In addition, MaGe allows for annotation curation and exploration of already published genomes from various genera (e.g. Yersinia, Bacillus and Neisseria). MaGe can be accessed at http://www.genoscope.cns.fr/agc/mage.
基因组放大系统(MaGe)是一个基于关系数据库的微生物基因组注释系统,该数据库包含细菌基因组信息,同时还有一个用于完成基因组注释项目的网络界面。我们的系统允许在完成阶段的早期启动基因组注释。MaGe的主要特点包括:(i)通过使用精确基因模型的基因编码重新注释过程增强细菌基因组注释数据的整合;(ii)整合通过多种生物信息学方法获得的结果,其中包括通过搜索保守共线性和重建代谢途径来探索基因背景;(iii)一个先进的网络界面,允许多个用户完善基因产物功能的自动分配。MaGe还与众多知名的生物数据库和系统相链接。我们的系统在完整细菌基因组(拜氏不动杆菌ADP1、嗜盐假交替单胞菌、阿尔尼氏弗兰克氏菌)注释过程中经过了全面测试,目前正用于多个新的微生物基因组注释项目。此外,MaGe还允许对已发表的来自不同属(如耶尔森氏菌、芽孢杆菌和奈瑟氏菌)的基因组进行注释管理和探索。可通过http://www.genoscope.cns.fr/agc/mage访问MaGe。