SBIR Phase I: Automating Linkage and Association Based Gene Mapping Analyses through Knowledge Acquisition

SBIR 第一阶段：通过知识获取自动进行基于连锁和关联的基因图谱分析

• 批准号: 0215044
• 负责人: Todd Griffith
• 金额: $ 10万
• 依托单位: Discovery Machine, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0215044&HistoricalAwards=false
• 关键词: SBIR; Phase; Automating; Linkage; Association

This Small Business Innovation Research (SBIR) Phase I Project proposes to investigate the application of an automatic inference engine called "Discovery Machine" to the domain of gene mapping. Discovery Machine is a set of knowledge acquisition tools that aid experts in solving problems over large amounts data. The proposed enhancements to the Discovery Machine will allow genetics experts to model their own strategies for interpreting the information needed to map genes. The development of bioinformatics tools is aimed at researchers who wish to better leverage computing power to solve problems across large sets of data but cannot easily write software to enable their efforts.The commercial application of this project is in the area of bioinformatics.

这个小企业创新研究（SBIR）第一阶段项目提议研究一种名为“发现机器”的自动推理引擎在基因定位领域的应用。Discovery Machine是一套知识获取工具，可以帮助专家解决大量数据问题。对“发现机器”提出的改进将允许遗传学专家建立自己的策略模型，以解释绘制基因图谱所需的信息。生物信息学工具的开发是针对那些希望更好地利用计算能力来解决大型数据集问题，但不容易编写软件来实现他们的努力的研究人员。该项目的商业应用是在生物信息学领域。