EDAC: ENCODE Data Analysis Center

描述（由申请人提供）：DNA元件百科全书（ENCODE）项目的目标是使用高通量实验和计算方法提供人类基因组中所有功能元件的完整清单。本提案旨在创建ENCODE数据分析中心（EDAC，或DAC），由多学科的领先科学家组成，他们将响应ENCODE分析工作组（AWG）的指示，从而以公正的方式整合ENCODE联盟中所有小组产生的数据。这些分析将通过集成不同的数据类型大大增加ENCODE数据的价值。DAC成员是各自领域生物信息学、计算机器学习、算法开发和基因组数据统计理论与应用的领军人物（包括：wzhiping Weng、Manolis Kellis、Mark Gerstein、Mark Daly、Roderic Guigo、Shirley Liu、Rafael Irizarry和William Noble）。他们在ENCODE和modENCODE项目的背景下提供协作分析方面有着良好的记录，在这些项目中，这组研究人员负责ENCODE和modENCODE论文中的大部分分析和大多数图表和表格。提议的发展援助委员会将追求以下七个目标：目标1。与AWG合作，定义和优先考虑ENCODE数据的综合分析；目标2。为数据处理、通用分析任务和数据交换提供共享的计算指南和基础设施；目标3。促进和进行数据整合，以进行特定元素的分析；目标4。促进和开展跨要素的探索性数据分析；目标5。促进和开展人类、小鼠、苍蝇和蠕虫的比较分析；目标6。促进与全基因组关联研究、社区和疾病数据集的整合；和Aim 7。协助撰写协会论文并协助评估ENCODE数据。

DESCRIPTION (provided by applicant): The objective of the Encyclopedia of DNA Elements (ENCODE) Project is to provide a complete inventory of all functional elements in the human genome using high-throughput experiments as well as computational methods. This proposal aims to create the ENCODE Data Analysis Center (EDAC, or the DAC), consisting of a multi-disciplinary group of leading scientists who will respond to directions from the Analysis Working Group (AWG) of ENCODE and thus integrate data generated by all groups in the ENCODE Consortium in an unbiased manner. These analyses will substantially augment the value of the ENCODE data by integrating diverse data types. The DAC members are leaders in their respective fields of bioinformatics, computational machine learning, algorithm development, and statistical theory and application to genomic data (Zhiping Weng, Manolis Kellis, Mark Gerstein, Mark Daly, Roderic Guigo, Shirley Liu, Rafael Irizarry, and William Noble). They have a strong track record of delivering collaborative analysis in the context of the ENCODE and modENCODE Projects, in which this group of researchers was responsible for the much of the analyses and the majority of the figures and tables in the ENCODE and modENCODE papers. The proposed DAC will pursue goals summarized as the following seven aims: Aim 1. To work with the AWG to define and prioritize integrative analyses of ENCODE data; Aim 2.To provide shared computational guidelines and infrastructure for data processing, common analysis tasks, and data exchange; Aim 3. To facilitate and carry out data integration for element-specific analyses; Aim 4.To facilitate and carry out exploratory data analyses across elements; Aim 5.To facilitate and carry out comparative analyses across human, mouse, fly, and worm; Aim 6.To facilitate integration with the genome-wide association studies community and disease datasets; and Aim 7.To facilitate writing Consortium papers and assist evaluating ENCODE data. RELEVANCE: The Encyclopedia of DNA Elements (ENCODE) Project is a coordinated effort to apply high-throughput, cost-efficient approaches to generate a comprehensive catalog of functional elements in the human genome. This proposal establishes a data analysis center to support, facilitate, and enhance integrative analyses of the ENCODE Consortium, with the ultimate goal of facilitating the scientific and medical communities in interpreting this human genome and using it to understand human biology and improve human health.