EDAC: ENCODE Data Analysis Center

EDAC：ENCODE数据分析中心

基本信息

批准号：
10547896
负责人：
Mark Bender Gerstein
金额：
$ 38.59万
依托单位：
UNIV OF MASSACHUSETTS MED SCH WORCESTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-02-04 至 2022-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10547896
关键词：
ATAC-seq Alleles Binding Biochemical Biological Biological Assay Biophysics Catalogs ChIP-seq Chromatin Collaborations Communities Computational Biology Computing Methodologies DNA Methylation Data Data Analyses Data Collection Data Coordinating Center Data Element Data Set Deoxyribonucleases Development Disease Elements Encyclopedia of DNA Elements Encyclopedias Enhancers Epigenetic Process Event Evolution Feedback Genes Genetic Genetic Transcription Genome Genomic Segment Genomics Genotype-Tissue Expression Project Goals Guidelines Health Hi-C Human Human Biology Human Genome Leadership Location Machine Learning Manuscripts Measures Metadata Methods Mus National Human Genome Research Institute Nucleotides Pathway Analysis Process Proteomics Publications RNA RNA-Binding Proteins Recording of previous events Records Reporting Reproducibility Research Research Personnel Resolution Resource Informatics Resources Science Signal Transduction Subgroup Techniques The Cancer Genome Atlas Transcriptional Regulation Variant Work Writing analysis pipeline base bisulfite sequencing cell type comparative computerized data processing data exchange data infrastructure data integration data standards experience experimental study functional genomics genetic variant genome wide association study high throughput analysis histone modification insight large scale data member mouse genome multiple data types novel symposium transcription factor transcriptome sequencing whole genome working group

项目摘要

PROJECT SUMMARY The goal of the Encyclopedia of DNA Elements (ENCODE) project is to catalog all functional elements in the human genome through the integration and analysis of high-throughput data. We propose to continue the ENCODE Data Analysis Center (EDAC, DAC) which will provide support and leadership in analyzing and integrating data from the ENCODE project as well as work closely with other ENCODE groups including the Data Coordination Center. Our proposed DAC team has expertise across a wide range of fields including transcriptional regulation, epigenetics, evolution, genomics and proteomics, regulatory RNA, biophysics, and computational biology, where they are the leaders in machine learning, statistical genetics, networks, and gene annotation. These investigators also have a history of successfully working collaboratively in large consortia, particularly with other ENCODE groups. Their publication records demonstrate their synergistic approach to producing high-impact science and useful resources that benefit the broader biomedical communities. The proposed DAC will pursue the following four aims: Aim 1. Analyze and integrate data and metadata from a broad range of functional genomics projects; Aim 2. Serve as an informatics resource by supporting the activities of the ENCODE Analysis Working Group; Aim 3. Create high-quality Encyclopedias of DNA elements in the human and mouse genomes; Aim 4. Assess the quality and utility of the ENCODE data and provide feedback to NHGRI and the Consortium.

项目概要 DNA 元素百科全书 (ENCODE) 项目的目标是对 DNA 元素中的所有功能元素进行编目。通过高通量数据的整合和分析来研究人类基因组。我们建议继续 ENCODE 数据分析中心（EDAC、DAC）将在分析和分析方面提供支持和领导整合来自 ENCODE 项目的数据，并与其他 ENCODE 团队密切合作，包括数据协调中心。我们提议的 DAC 团队拥有广泛领域的专业知识，包括转录调控、表观遗传学、进化、基因组学和蛋白质组学、调控RNA、生物物理学和计算生物学，他们是机器学习、统计遗传学、网络和基因领域的领导者注解。这些研究人员也有在大型财团中成功合作的历史，特别是对于其他 ENCODE 组。他们的出版记录证明了他们的协同方法产生高影响力的科学和有用的资源，造福更广泛的生物医学界。拟议的 DAC 将追求以下四个目标：目标 1. 分析和集成来自某个领域的数据和元数据广泛的功能基因组学项目；目标 2. 通过支持 ENCODE 分析工作组的活动；目标 3. 创建高质量的 DNA 元素百科全书在人类和小鼠基因组中；目标 4. 评估 ENCODE 数据的质量和实用性并提供向 NHGRI 和联盟提供反馈。