在线拓展酵母知识。
Expanding yeast knowledge online.
作者信息
Dolinski K, Ball C A, Chervitz S A, Dwight S S, Harris M A, Roberts S, Roe T, Cherry J M, Botstein D
机构信息
Department of Genetics, Stanford University, CA 94305-5120, USA.
出版信息
Yeast. 1998 Dec;14(16):1453-69. doi: 10.1002/(SICI)1097-0061(199812)14:16<1453::AID-YEA348>3.0.CO;2-G.
The completion of the Saccharomyces cerevisiae genome sequencing project and the continued development of improved technology for large-scale genome analysis have led to tremendous growth in the amount of new yeast genetics and molecular biology data. Efficient organization, presentation, and dissemination of this information are essential if researchers are to exploit this knowledge. In addition, the development of tools that provide efficient analysis of this information and link it with pertinent information from other systems is becoming increasingly important at a time when the complete genome sequences of other organisms are becoming available. The aim of this review is to familiarize biologists with the type of data resources currently available on the World Wide Web (WWW).
酿酒酵母基因组测序项目的完成以及大规模基因组分析技术的不断改进，使得新的酵母遗传学和分子生物学数据量大幅增长。如果研究人员要利用这些知识，高效地组织、呈现和传播这些信息至关重要。此外，在其他生物的完整基因组序列逐渐可得的时代，开发能够有效分析这些信息并将其与其他系统的相关信息相联系的工具变得越来越重要。本综述的目的是让生物学家熟悉当前万维网上可用的数据资源类型。
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