MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.
MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.
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Miriam Resources：生成和解决系统生物学中强大的交叉引用的工具。
DOI：
10.1186/1752-0509-1-58
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发表时间：
2007-12-13
影响因子：
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通讯作者：
Le Novere, Nicolas
中科院分区：
文献类型：
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作者：
Laibe, Camille;Le Novere, Nicolas
生化模型注释（MIRIAM）中要求的最小信息是计算模型的注释和策划过程的一组准则，以促进其交换和重复使用。标准的重要部分是基于统一资源标识符的模型组件的控制注释。为了启用本注释的互操作性，社区必须就与公认的数据类型相对应的一组标准URI达成共识。正在开发Miriam资源来支持这些URI的使用。
Miriam Resources是针对目录数据类型，其URI和相应的物理URL（或资源）创建的一组在线服务，无论数据类型是受控词汇还是主要数据资源。 Miriam资源由几个组件组成：Miriam数据库存储信息，Miriam Web服务允许编程访问数据库，Miriam Library提供了对Web服务的访问，Miriam Web应用程序是访问数据（人类浏览）以及的一种方式编辑或添加条目。
Miriam Resources项目允许轻松访问Miriam URI和相关信息，因此对于在生物过程的计算模型中培养Miriam注释的一般使用至关重要。
The Minimal Information Requested In the Annotation of biochemical Models (MIRIAM) is a set of guidelines for the annotation and curation processes of computational models, in order to facilitate their exchange and reuse. An important part of the standard consists in the controlled annotation of model components, based on Uniform Resource Identifiers. In order to enable interoperability of this annotation, the community has to agree on a set of standard URIs, corresponding to recognised data types. MIRIAM Resources are being developed to support the use of those URIs. MIRIAM Resources are a set of on-line services created to catalogue data types, their URIs and the corresponding physical URLs (or resources), whether data types are controlled vocabularies or primary data resources. MIRIAM Resources are composed of several components: MIRIAM Database stores the information, MIRIAM Web Services allows to programmatically access the database, MIRIAM Library provides an access to the Web Services and MIRIAM Web Application is a way to access the data (human browsing) and also to edit or add entries. The project MIRIAM Resources allows an easy access to MIRIAM URIs and the associated information and is therefore crucial to foster a general use of MIRIAM annotations in computational models of biological processes.