Strategies for biological annotation of mammalian systems: Implementing gene ontologies in mouse genome informatics
Strategies for biological annotation of mammalian systems: Implementing gene ontologies in mouse genome informatics
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DOI：
10.1006/geno.2001.6513
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发表时间：
2001-05-15
期刊：
影响因子：
4.4
通讯作者：
Blake, JA
中科院分区：
文献类型：
--
作者：
Hill, DP;Davis, AP;Blake, JA
生物学的本质是信息。遗传密码中包含的指令被复制、转录并翻译成执行基因产物的生物功能的分子。随着时间的推移，这些信息受到进化压力的影响，导致多样性和物种形成，但也保护了生物学上有用的功能，过程和结构。生物信息学出于计算目的整理和整合生物信息。基因本体（GO）项目是在三个模式生物数据库，果蝇基因组数据库（FlyBase Consortium，1999），酵母基因组数据库（SGD; Ball et al.，2000）和小鼠基因组信息学数据库（MGD和GXD，下文中共同称为MGI; Blake et al.，2000; Ringwald等人，2000年），意识到需要一个共同的注释语言来描述保守的生物学原理。这种共同的需求导致了一个共享的，定义的术语集的发展，允许查询的术语和恢复的基因或基因产物与该术语在多个（模式生物）物种。来自每个模型生物数据库的管理员为本体的结构和内容做出贡献，允许资源的跨物种覆盖。
The nature of biology is informational. Instructions contained in the genetic code are replicated, transcribed, and translated into molecules that carry out the biological functions of the gene products. Throughout time, this information is subjected to evolutionary pressures that lead to diversity and speciation, but also to a conservation of functions, processes, and structures that are biologically useful. Bioinformatics curates and integrates biological information for computational purposes. One requirement for this is the development of dictionaries of standardized terms containing logical relationships that are consistently used between databases.The Gene Ontology (GO) project was initiated when three model-organism databases, the Drosophila genome database (FlyBase Consortium, 1999), the Saccharomyces genome database (SGD; Ball et al., 2000), and the mouse genome informatics databases (MGD and GXD, hereafter referred to jointly as MGI; Blake et al., 2000; Ringwald et al., 2000), realized the need for a common annotation language to describe conserved biological principals. This common need resulted in the development of a shared, defined set of terms that allows querying by the term and recovers the genes or gene products associated with that term within multiple (model organism) species. Curators from each of the modelorganism databases contribute to the structure and content of the ontologies, allowing for the cross-species coverage of the resource.