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豆类资源:MtDB和Medicago.Org。

Legume Resources: MtDB and Medicago.Org.

作者信息

Retzel Ernest F, Johnson James E, Crow John A, Lamblin Anne F, Paule Charles E

机构信息

Center for Computational Genomics and Bioinformatics, University of Minnesota, Minneapolis, MN, USA.

出版信息

Methods Mol Biol. 2007;406:261-74. doi: 10.1007/978-1-59745-535-0_12.

Abstract

To identify the genes and gene functions that underlie key aspects of legume biology, researchers have selected the cool season legume Medicago truncatula as a model system for legume research. The mission of the M. truncatula Consortium is to promote unrestricted sharing of data and information that are provided by Medicago research groups worldwide. Through integration of a variety of data and tools, the medicago.org site intends to facilitate progress in the fields of structural, comparative, and functional genomics. To this goal, and as a consortium partner, the Center for Computational Genomics and Bioinformatics (CCGB) at the University of Minnesota has developed MtDB2.0, the M. truncatula database version 2.0. The MtDB2.0 database is the first step toward the global integration of M. truncatula genomic, genetic, and biological information. MtDB2.0 is a relational database that integrates M. truncatula transcriptome data and provides a wide range of user-defined data mining options. The database is interrogated through a series of interfaces, with 58 options grouped into two filters. Sequence identifiers from all public M. truncatula sites [e.g., IDs from GenBank, CCGB, The Institute for Genomic Research (TIGR), National Center for Genome Resources (NCGR), and I'Institut National de la Recherche Agronomique (INRA)] are fully cross-referenced to facilitate comparisons between different sites, and hypertext links to the appropriate database records are provided for all queries' results. MtDB's goal is to provide researchers with the means to quickly and independently identify sequences that match specific research interests based on user-defined criteria. MtDB2.0 offers unrestricted access to advanced and powerful querying tools unmatched by any other public databases. Structurad Query Language (SQL)-encoded queries with a Java-based Web user interface, incorporate different filtering that allow sophisticated data mining of the expressed sequence tag sequencing project results, including the CCGB M. truncatula Unigene set generated with the Phrap assembler. The underlying database and query software have been designed for ease of updates and portability to other model organisms. Public access to the database is at http://www.medicago.org/MtDB.

摘要

为了确定豆科植物生物学关键方面的基因及其功能,研究人员选择了冷季豆科植物蒺藜苜蓿作为豆科植物研究的模型系统。蒺藜苜蓿联盟的使命是促进全球蒺藜苜蓿研究小组提供的数据和信息的无限制共享。通过整合各种数据和工具,medicago.org网站旨在推动结构基因组学、比较基因组学和功能基因组学领域的进展。为实现这一目标,作为联盟合作伙伴,明尼苏达大学的计算基因组学和生物信息学中心(CCGB)开发了MtDB2.0,即蒺藜苜蓿数据库版本2.0。MtDB2.0数据库是迈向蒺藜苜蓿基因组、遗传和生物学信息全球整合的第一步。MtDB2.0是一个关系数据库,整合了蒺藜苜蓿转录组数据,并提供了广泛的用户定义数据挖掘选项。该数据库通过一系列接口进行查询,58个选项分为两个过滤器。来自所有公共蒺藜苜蓿网站的序列标识符[例如,来自GenBank、CCGB、基因组研究所(TIGR)、国家基因组资源中心(NCGR)和法国国家农业研究院(INRA)的ID]进行了全面交叉引用,以方便不同网站之间的比较,并为所有查询结果提供指向相应数据库记录的超文本链接。MtDB的目标是为研究人员提供手段,使其能够根据用户定义的标准快速、独立地识别与特定研究兴趣匹配的序列。MtDB2.0提供对先进且强大的查询工具的无限制访问,这是其他任何公共数据库都无法比拟的。具有基于Java的Web用户界面的结构化查询语言(SQL)编码查询,包含不同的过滤功能,允许对表达序列标签测序项目结果进行复杂的数据挖掘,包括使用Phrap汇编器生成的CCGB蒺藜苜蓿单基因集。底层数据库和查询软件的设计便于更新,并可移植到其他模式生物。可通过http://www.medicago.org/MtDB公开访问该数据库。

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