EDAC: ENCODE Data Analysis Center

EDAC：ENCODE数据分析中心

• 批准号: 8725717
• 负责人: Zhiping Weng
• 金额: $ 201.58万
• 依托单位: UNIV OF MASSACHUSETTS MED SCH WORCESTER
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-21 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8725717
• 关键词: Address; Algorithms; Beryllium; Bioinformatics; Biological; Biological Assay; Biological Sciences; Cataloging; Catalogs; Communities; Complement; Computing Methodologies; Data; Data Analyses; Data Collection; Data Set; Development; Disease; Elements; Encyclopedia of DNA Elements; Equipment and supply inventories; Freezing; Genomics; Goals; Guidelines; Health; Human; Human Biology; Human Genome; Indium; Instruction; Invertebrates; Investigation; Machine Learning; Manuscripts; Medical; Mus; National Human Genome Research Institute; Organism; Paper; Publishing; Records; Reporting; Research; Research Infrastructure; Research Personnel; Scientist; Vertebral column; Vertebrates; Work; Writing; comparative; computerized data processing; cost; cost effectiveness; data exchange; data integration; fly; foot; genome wide association study; genome-wide; human disease; improved; insight; member; novel; research study; symposium; task analysis; theories; working group

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.

描述(申请人提供)：DNA元件百科全书(ENCODE)项目的目标是利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。这项建议旨在建立ENCODE数据分析中心(EDAC，或DAC)，由一个由领先科学家组成的多学科小组组成，他们将响应ENCODE分析工作组(AWG)的指示，从而以不偏不倚的方式整合ENCODE联盟中所有小组产生的数据。这些分析将通过整合不同的数据类型大大增加ENCODE数据的价值。DAC成员在各自的生物信息学、计算机器学习、算法开发以及统计理论和基因组数据应用方面都是领导者(翁志平、马诺利斯·凯利斯、马克·格斯坦、马克·戴利、罗德里克·吉戈、雪莉·刘、拉斐尔·伊里扎里和威廉·诺布尔)。他们在ENCODE和modENCODE项目中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文件中的大部分分析以及大多数图表。拟议的发展援助委员会将实现以下七个目标：目标1.与特设工作组合作，界定编码编码数据的综合分析并确定其优先次序；目标2.为数据处理、共同分析任务和数据交换提供共享的计算准则和基础设施；目标3.促进和进行特定元素分析的数据整合；目标4.促进和进行跨元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；和目标7.促进联盟论文的撰写并协助评估ENCODE数据。 相关性：DNA元素百科全书(ENCODE)项目是一项协调努力，旨在应用高通量、低成本效率的方法来生成人类基因组中功能元素的全面目录。这项建议建立了一个数据分析中心，以支持、促进和加强对ENCODE联盟的综合分析，最终目的是促进科学界和医学界解释这一人类基因组，并利用它来了解人类生物学，改善人类健康。