Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data

解决现代生物学问题，特别是涉及基因组数据的问题，需要先进的计算和分析方法。现代生物学研究的海量数据和不断升级的需求越来越需要对象关系数据库工具的复杂性和强大功能。关键技术包括关系数据管理、模式识别、数据挖掘和生物数据可视化。在这个项目中，我们将开发高效的方法和数据结构来收集完整基因组信息的高质量近似，并将以这些创新为基础开发新的、实用的工具，用于基因组数据挖掘和数据库管理中的聚类和可视化。

Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biological data. In this project we will develop efficient methodologies and data structures for gathering high-quality approximations of full genomic information, and will use these innovations as the foundation to develop novel, practical tools for clustering and visualization in genomic data mining and database management.