Linking Visual Phenotypes with Genotypes in Plants - Content Management, Knowledge Sharing, and Database Retrievals

将植物的视觉表型与基因型联系起来 - 内容管理、知识共享和数据库检索

• 批准号: 0447794
• 负责人: Chi-Ren Shyu
• 金额: $ 50万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0447794&HistoricalAwards=false
• 关键词: Linking; Visual; Phenotypes; Genotypes; Plants

The University of Missouri-Columbia is awarded an early career development grant for Dr. Chi-Ren Shyu to develop new approaches to knowledge federation of visual phenotypes that can function and flourish in today's landscape of diverse, constantly changing and inconsistent databases, schema, and terminology. The knowledge-sharing hub proposed in the project has the ability to use disparate computational resources to reliably exchange data and computations with little intervention from the user. A second challenge is to develop methods that answer the researchers' hybrid queries, which are combinations of scientific expertise and algorithms that detect and retrieve information related by image features, semantic description, map location, and patterns of DNA sequences, even when those data are not currently correlated with each other in the partner's databases. The proposed hybrid query system will be the first and only in the research community that allows a researcher or an educator to submit an image of a mutant to the database and ask, "What genes or environmental factors cause this visual phenotype?" The [roject includes an educational component with two unique aspects: One focus is on training of undergraduate and graduate students and creating courses for them that are closely aligned with the research activities. The new courses, titled "Content Management in Bioinformatics," and "Computer Vision and Image Understanding in Bioinformatics" will be pioneering courses in computational biology curriculum design. The other focus will leverage the proposed research activities to create, in conjunction with traditional computer science courseware, scientific data repositories for computation and biology education.

密苏里大学 - 哥伦比亚大学获得了早期职业发展赠款，旨在为Chi-Rensy博士提供新的方法，以在当今多样化，不断变化且不一致的数据库，模式和术语的情况下，在当今多样化，不断变化和不一致的数据库中，可以发挥作用和繁荣的知识联合会。项目中提出的知识共享中心可以使用不同的计算资源来可靠地交换数据和计算，而用户很少干预。第二个挑战是开发回答研究人员的混合查询的方法，这些方法是科学专业知识和算法的组合，这些方法可以检测和检索通过图像特征，语义描述，地图位置和DNA序列模式相关的信息，即使这些数据当前在合作伙伴的数据库中没有相互关联。拟议的混合查询系统将是研究人员或教育者将突变体形象提交数据库的第一个也是仅在研究界中，并问：“哪些基因或环境因素导致这种视觉表型？” [Rooject包括一个具有两个独特方面的教育组成部分：一种重点是培训本科生和研究生，并为他们为与研究活动紧密相符的课程创建课程。新课程的标题为“生物信息学中的内容管理”，“生物信息学中的计算机视觉和图像理解”将是计算生物学课程设计的开创课程。另一个重点将利用拟议的研究活动与传统的计算机科学课程以及计算和生物学教育的科学数据存储库共同创建。