EDAC: ENCODE Data Analysis Center

EDAC：ENCODE数据分析中心

基本信息

批准号：
10240955
负责人：
Mark Bender Gerstein
金额：
$ 197.53万
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：
2021
资助国家：
美国
起止时间：
2021-02-01 至 2022-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10240955
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 (Zhiping Weng, Mark Gerstein, Manolis Kellis, Roderic Guigo, Rafael Irizarry, X. Shirley Liu, Anshul Kundaje, and William Noble) 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 quality and utility of the ENCODE data and provide feedback to NHGRI and the Consortium.

项目摘要 DNA元素百科全书（编码）项目的目的是对所有功能元素进行分类通过整合和分析高通量数据的人类基因组。我们建议继续编码数据分析中心（EDAC，DAC），该中心将在分析和集成了编码项目的数据，并与其他编码组紧密合作，包括数据协调中心。我们提议的DAC团队（Zhiping Weng，Mark Gerstein，Manolis Kellis，Roderic Guigo，Rafael Irizarry，X。ShirleyLiu，Anshul Kundaje和William Noble在各种各样的专业知识包括转录调节，表观遗传学，进化，基因组学和蛋白质组学，调节性RNA，包括的领域，生物物理学和计算生物学，它们是机器学习，统计遗传学的领导者，网络和基因注释。这些调查人员也有成功合作工作的历史在大型联盟中，特别是在其他编码组中。他们的出版记录证明了他们的生产高影响力科学和有用的资源的协同方法，使更广泛的资源受益生物医学群落。拟议的DAC将追求以下四个目标：目标1。分析和整合数据和元数据广泛的功能基因组学项目；目标2。通过支持编码分析工作组的活动；目标3。创建DNA元素的高质量百科全书在人和小鼠基因组中；目标4。评估编码数据的质量和实用性并提供对NHGRI和财团的反馈。