SECOND GENERATION TOOLS FOR FUNCTIONAL GENOMICS

第二代功能基因组学工具

• 批准号: 6536469
• 负责人: Stephen G Chamberlin
• 金额: $ 34.87万
• 依托单位: ERAGEN BIOSCIENCES, INC.
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2003-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6536469
• 关键词: biochemical evolution; computer program /software; computer system design /evaluation; conformation; functional /structural genomics; gene expression; molecular biology information system; molecular genetics; nucleic acid sequence; protein sequence; technology /technique development

APPLICANT?S DESCRIPTION: EraGen will develop a new functional genomics software suite that helps scientists use genomic sequence data to solve biological and biomedical problems in this Phase II period. The product will take the scientist beyond classical approaches to sequence annotation, which use BLAST searches to identify homologs, and assume that two proteins related by common ancestry must have analogous functions. The Phase I period demonstrated that this approach to database annotation is often misleading, and frequently misses meaningful interpretations in metazoan proteins. The Phase II period will refine and fully develop the software initiated in Phase I. This software will serve to identify where function might have changed during divergence of a sequence family, and also where recruitment of function has occurred using rates of change from the DNA sequence. In addition, the tools to exploit probabilistic ancestral sequences for both protein/protein and DNA/protein alignments will be fully developed. These tools will detect distant homologs, identify errors across sequence databases, and augment current approaches to gene finding. PROPOSED COMMERCIAL APPLICATIONS: Not Available

申请人？EraGen将开发新的功能基因组学软件 帮助科学家使用基因组序列数据来解决生物和 生物医学问题在这第二阶段。该产品将采取 科学家超越了使用BLAST的经典序列注释方法， 搜索以识别同源物，并假设两种蛋白质通过共同的 祖先必须有类似的功能。第一阶段表明， 这种数据库注释方法经常会引起误解， 有意义的解释。第二阶段将 完善和全面开发第一阶段启动的软件。该软件将 用来确定在一个函数的发散过程中函数可能发生变化的地方。 序列家族，以及使用 DNA序列的变化率。此外，可以利用的工具 蛋白质/蛋白质和DNA/蛋白质的概率祖先序列 路线将得到充分发展。这些工具将检测到遥远的同源物， 识别序列数据库中的错误，并增强当前的方法， 基因发现 拟议的商业应用： 不可用