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基因型-表型数据库:后基因组时代的挑战与解决方案

Genotype-phenotype databases: challenges and solutions for the post-genomic era.

作者信息

Thorisson Gudmundur A, Muilu Juha, Brookes Anthony J

机构信息

Department of Genetics, University of Leicester, University Road, Leicester LE1 7RH, UK.

出版信息

Nat Rev Genet. 2009 Jan;10(1):9-18. doi: 10.1038/nrg2483.

Abstract

The flow of research data concerning the genetic basis of health and disease is rapidly increasing in speed and complexity. In response, many projects are seeking to ensure that there are appropriate informatics tools, systems and databases available to manage and exploit this flood of information. Previous solutions, such as central databases, journal-based publication and manually intensive data curation, are now being enhanced with new systems for federated databases, database publication, and more automated management of data flows and quality control. Along with emerging technologies that enhance connectivity and data retrieval, these advances should help to create a powerful knowledge environment for genotype-phenotype information.

摘要

关于健康与疾病遗传基础的研究数据流动在速度和复杂性方面正迅速增加。作为回应,许多项目正在寻求确保有适当的信息学工具、系统和数据库来管理和利用这海量信息。以前的解决方案,如中央数据库、基于期刊的出版以及人工密集型的数据管理,现在正通过联合数据库、数据库出版以及对数据流和质量控制进行更多自动化管理的新系统得到改进。随着增强连接性和数据检索的新兴技术的出现,这些进展应有助于为基因型-表型信息创建一个强大的知识环境。

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