Development of Knowledge Discovery for High Dimensional Biomedical Data

近年来，分子遗传学实验技术的发展为基因组数据的获取提供了丰富的数据，也引起了人们对DNA序列分析的兴趣。人类和小鼠基因组计划正处于系统测序阶段，基于科学领域概念的计算工具最近发挥了突出作用。对该项目的重大贡献将越来越多地取决于基因组数据分析算法的原始应用和开发，以及支持它们的计算系统。这些挑战促进了计算机科学的重大进展，导致具有全球意义的合作研究。

The recent progress in experimental techniques of molecular genetics has made available a wealth of genome data and raised the interest for analysis of DNA sequences. As the human and mouse genome projects are in a phase of systematic sequencing, computational tools based on concepts used in science fields have recently played a prominent role. Significant contributions to this project will increasingly depend upon original application and development of algorithms for the analysis of genomic data, and of the computational systems that support them. These challenges have fostered major progress in computer science, leading to collaborative research of global significance.