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收获。这些都导致了显着的进展，在癌症的分子概况，组装遗传调控层次，全基因组分析的发展和系统的药物靶点搜索。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、医学和工程等不同领域的跨学科互动。 功能基因组学目前面临的一个挑战是开发分析方法和数据挖掘算法，以跟上正在生成的雪崩数据。还需要方法来整合来自不同的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，如癌症分析，发育形态发生和定量遗传学。 会议的目标是整合人类疾病，遗传网络建模，数量性状映射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.