RESOURCE FOR ANALYSIS OF YEAST FUNCTIONAL GENOMICS

这项建议是为了创建一个酵母功能基因组资源(YFGR[TM])来管理、展示和分析酿酒酵母功能基因组数据的爆炸性增长。YFGR将包含新的展示和分析工具，并链接到成功开发的酵母蛋白质数据库(YPD[TM])。YPD提供了50,000多行科学成果的注释行，摘录自7500多种出版物。在酵母研究的后基因组阶段，技术已经转向全基因组的大规模功能分析，其中包括DNA微阵列、SAGE实验、系统的基因敲除和系统的双杂交分析。海量的数据迫切需要与其他数据库资源的组织和集成，以便学术和行业研究人员更容易和完整地进行评估。数据集将在YFGR中重新格式化为关系数据库表，并用实验细节进行注释。将开发软件来显示表达谱数据和蛋白质相互作用网络数据。分析软件将使用YPD来找到共同调节的蛋白质或显示双杂交相互作用的蛋白质的共同属性，为用户提供无与伦比的能力，将功能基因组数据与酵母生物学的先验知识联系起来。建议的商业应用：酵母蛋白数据库(YPD[TM])被生物技术、制药和生物信息学公司用于抗真菌研究、比较基因组学，并越来越多地用于解释功能基因组学。目前的生物信息学工具允许序列分析，但目前几乎没有用于功能分析的软件工具。酵母功能基因组资源(YFGR[TM])将使公司能够从其在功能基因组技术上的投资中实现更多价值。为YFGR开发的这套工具将适用于蛋白质组公司开发的其他模式生物Beina的蛋白质组数据库。

This proposal is to create a Yeast Functional Genomics Resource (YFGR[TM]) to manage, present and analyze the explosion of functional genomic data for Saccharomyces cerevisiae. YFGR will encompass new presentation and analysis tools with links into the successfully developed Yeast Protein Database (YPD[TM]). YPD provides over 50,000 annotation lines of scientific results, curated from more than 7500 publications. In this post-genomic phase of yeast research, technology has shifted to genome- wide, large-scale functional analyses, which include DNA microarrays, SAGE experiments, systematic gene knockouts, and systematic two-hybrid analyses. The enormous amount of data urgently requires organization and integration with other database resources to be more easily and completely evaluated by academic and industrial researchers. The data sets will be reformatted in YFGR as relational database tables and annotated with experimental details. Software will be developed to present expression profile data and protein interaction network data. The analysis software will use YPD to find common properties for co-regulated proteins or proteins that show two-hybrid interaction, giving the user unparalleled power to connect functional genomic data with the prior knowledge of yeast biology. PROPOSED COMMERCIAL APPLICATIONS: The Yeast Protein Database (YPD[TM]) is used by biotechnology, pharmaceutical and bioinformatics companies, in the context of anti-fungal research, comparative genomics, and increasingly to interpret functional genomics. Current bioinformatics tools allow sequence analysis, but few software tools currently exist for functional analyses. The Yeast Functional Genomics Resource (YFGR[TM]) will enable companies to realize more value from their investments in functional genomic technologies. This suite of tools developed for the YFGR will be applicable for use with Proteome Databases for other model organism beina developed by Proteome, Inc.