Functional Genomics:Complex Biological Systems

描述(由申请人提供)： 功能基因组学的革命提供了表达、功能和蛋白质相互作用数据的意外之财。这些都导致了癌症分子图谱、基因调控体系的组装、全基因组发育分析和药物靶标的系统搜索等方面的显著进展。功能基因组学的成功在很大程度上依赖于遗传学、计算机科学、医学和工程学等不同领域的跨学科互动。 功能基因组学目前的一个挑战是开发分析方法和数据挖掘算法，以跟上产生的数据的雪崩。还需要各种方法来整合来自不同全基因组表达谱的数据，并将模式生物的共同主题应用于人类疾病。整体方法的进展将揭示复杂的生物系统，如癌症特征、发育形态发生和数量遗传学。 会议的目标是整合人类疾病、遗传网络建模、数量性状图谱和数据挖掘技术的进展。

DESCRIPTION (provided by applicant): The revolution in functional genomics has provided a windfall of expression, functional and protein interaction data. These have led to remarkable advances in molecular profiles for cancer, assembly of genetic regulatory hierarchies, genome-wide analysis of development and systematic searches for drug targets. The success of functional genomics has relied heavily in interdisciplinary interactions from diverse fields such as genetics, computer science, medicine and engineering. A current challenge in functional genomics is to develop analytical methods and data mining algorithms to keep up with the avalanche of data being generated. Methods are also needed to integrate data from diverse genome-wide expression profiles and to apply common themes from model organisms to human disease. Progress in holistic approaches will shed light on complex biological systems, such as cancer profiling, developmental morphogenesis, and quantitative genetics. The goal of the meeting is to integrate advances in human disease, modeling of genetic networks, quantitative trait mapping, and data mining techniques.