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Using genomic databases for sequence-based biological discovery.

机译:使用基因组数据库进行基于序列的生物学发现。

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The inherent potential underlying the sequence data produced by the International Human Genome Sequencing Consortium and other systematic sequencing projects is, obviously, tremendous. As such, it becomes increasingly important that all biologists have the ability to navigate through and cull important information from key publicly available databases. The continued rapid rise in available sequence information, particularly as model organism data is generated at breakneck speed, also underscores the necessity for all biologists to learn how to effectively make their way through the expanding "sequence information space." This review discusses some of the more commonly used tools for sequence discovery; tools have been developed for the effective and efficient mining of sequence information. These include LocusLink, which provides a gene-centric view of sequence-based information, as well as the 3 major genome browsers: the National Center for Biotechnology Information Map Viewer, the University of California Santa Cruz Genome Browser, and the European Bioinformatics Institute's Ensembl system. An overview of the types of information available through each of these front-ends is given, as well as information on tutorials and other documentation intended to increase the reader's familiarity with these tools.
机译:国际人类基因组测序协会和其他系统测序项目所产生的序列数据的潜在内在潜力显然是巨大的。因此,越来越重要的是,所有生物学家都有能力浏览并从关键的公共可用数据库中搜集重要信息。可用序列信息的持续快速增长,特别是当模型生物数据以惊人的速度生成时,也突显了所有生物学家必须学习如何有效地通过不断扩展的“序列信息空间”进行研究的必要性。这篇综述讨论了一些更常用的序列发现工具。已经开发出用于有效和高效地挖掘序列信息的工具。其中包括LocusLink(可提供以基因为中心的基于序列的信息的视图)以及3种主要的基因组浏览器:美国国家生物技术信息中心地图浏览器,加利福尼亚大学圣克鲁斯大学基因组浏览器以及欧洲生物信息学研究所的Ensembl系统。概述了通过这些前端中的每一个可用的信息类型,以及有关旨在提高读者对这些工具的熟悉程度的教程和其他文档的信息。

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