Multi-Omics DACC: The Data Analysis and Coordination Center for the collaborative multi-omics for health and disease initiative
多组学 DACC:健康和疾病协作多组学计划的数据分析和协调中心
基本信息
- 批准号:10744561
- 负责人:
- 金额:$ 311.62万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-12 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:AgreementBiologicalCatalogingCollaborationsCommunicationCommunitiesCommunity OutreachComputing MethodologiesDataData AnalysesData CollectionData SetDedicationsDiseaseEnsureEnvironmental ExposureFAIR principlesGoalsHealthIntuitionLeadershipLogisticsMachine LearningMetadataMethodsMultiomic DataParticipantPhenotypePopulation HeterogeneityPositioning AttributePostdoctoral FellowProcessProductionProtocols documentationQuality ControlReproducibilityResearchResearch PersonnelResourcesSecureServicesSiteSoftware EngineeringSoftware ToolsSpecific qualifier valueStandardizationStatistical MethodsTechnologyUnited States National Institutes of HealthUpdateVisualizationWorkanalysis pipelinecomputational pipelinesdata analysis pipelinedata harmonizationdata integrationdata modelingdata portaldata qualitydata standardsdata submissiondesignexperiencemeetingsmethod developmentmultidimensional datamultiple omicsnoveloutreachprotocol developmentsocial mediasuccesssymposium
项目摘要
ABSTRACT
The NIH is establishing a new Multi-Omics for Health and Disease Consortium to advance the application of
multi-omic technologies to study health and disease in ancestrally diverse populations. The Consortium
comprises three components: Disease Study Sites (DSSs), ‘Omics Production Centers (OPCs), and a Data
Analysis and Coordination Center (DACC). The project aims to establish a DACC to coordinate and support
the Consortium’s activities and maximize its success. To be impactful, the Consortium’s experimental protocols
must be transparent and reproducible, data must adhere to the FAIR guiding principles (Findable, Accessible,
Interoperable, Reusable), and computational methods and software tools must be open to the public.
Furthermore, an interactive portal is needed for intuitive access to the data, and dedicated outreach efforts are
required to assist the community in data use. We have assembled a unique team of investigators, data
wranglers, software engineers, bioinformaticians, and postdocs to form a DACC to meet the challenges of
ensuring high data quality and maximizing the consortium’s impact. All five DACC investigators have held
leadership positions in large consortia in the past decade and bring substantial expertise in data coordination,
management, harmonization, analysis, and integration. Our DACC will accomplish the goals of the Consortium
via six specific aims: Aim 1. Coordinating and contributing to Consortium-wide protocol development, data
analysis, and methods development. Aim 2. Managing and securing Consortium data by specifying metadata,
establishing submission processes and standards, and incorporating experimental data and analysis results
into AnVIL. Aim 3. Creating a multi-dimensional dataset that is available to the broader research community.
Aim 4. Designing, developing, and maintaining an open-access portal for cataloging, querying, and visualizing
summary-level data. Aim 5. Coordinating consortium logistics by organizing and facilitating internal and
external activities, communications, and collaborations. Aim 6. Coordinating community outreach and
dissemination of Consortium findings.
摘要
NIH正在建立一个新的健康和疾病多组学联盟,以推进
多组学技术,以研究健康和疾病的祖先不同的人群。该财团
包括三个组成部分:疾病研究中心(DSS)、组学生产中心(OPC)和数据中心(Data Center)。
分析和协调中心(DACC)。该项目旨在建立一个DACC,
集团的活动,并最大限度地取得成功。为了产生影响,联盟的实验方案
必须是透明的和可复制的,数据必须遵守公平的指导原则(可查找,可解释,
可互操作的、可重用的),以及计算方法和软件工具必须向公众开放。
此外,还需要一个互动门户网站,以便直观地访问数据,
帮助社区使用数据。我们组建了一个独特的调查小组,
管理员、软件工程师、生物信息学家和博士后组成DACC,以应对
确保高质量的数据并最大限度地发挥联合体的影响。所有五名DACC调查人员都持有
在过去十年中,他在大型财团中担任领导职务,并在数据协调方面拥有丰富的专业知识,
管理、协调、分析和整合。我们的DACC将实现联盟的目标
通过六个具体目标:目标1。协调和促进联盟范围内的方案制定、数据
分析和方法开发。目标二。通过指定元数据来管理和保护联盟数据,
建立提交流程和标准,并纳入实验数据和分析结果
安维尔目标3。创建可供更广泛研究社区使用的多维数据集。
目标4。设计、开发和维护用于编目、查询和可视化的开放访问门户
摘要级数据。目标5。通过组织和促进内部和外部物流,
外部活动、沟通和合作。目标6。协调社区外展活动,
传播联合会的调查结果。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Anshul Kundaje其他文献
Anshul Kundaje的其他文献
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{{ truncateString('Anshul Kundaje', 18)}}的其他基金
A Comprehensive Genomic Community Resource of Transcriptional Regulation
转录调控的综合基因组群落资源
- 批准号:
10411262 - 财政年份:2022
- 资助金额:
$ 311.62万 - 项目类别:
A Comprehensive Genomic Community Resource of Transcriptional Regulation
转录调控的综合基因组群落资源
- 批准号:
10842047 - 财政年份:2022
- 资助金额:
$ 311.62万 - 项目类别:
A Comprehensive Genomic Community Resource of Transcriptional Regulation
转录调控的综合基因组群落资源
- 批准号:
10625529 - 财政年份:2022
- 资助金额:
$ 311.62万 - 项目类别:
Identifying causal genetic variants and molecular mechanisms impacting mental health
识别影响心理健康的因果遗传变异和分子机制
- 批准号:
10571911 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
Identifying causal genetic variants and molecular mechanisms impacting mental health
识别影响心理健康的因果遗传变异和分子机制
- 批准号:
10380573 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code
通过顺式调控密码的视角预测遗传变异的特定背景分子和表型效应
- 批准号:
10659170 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code
通过顺式调控密码的视角预测遗传变异的特定背景分子和表型效应
- 批准号:
10297562 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code
通过顺式调控密码的视角预测遗传变异的特定背景分子和表型效应
- 批准号:
10474459 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
Multi-omic functional assessment of novel AD variants using high-throughput and single-cell technologies
使用高通量和单细胞技术对新型 AD 变体进行多组学功能评估
- 批准号:
10684210 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
Multi-omic functional assessment of novel AD variants using high-throughput and single-cell technologies
使用高通量和单细胞技术对新型 AD 变体进行多组学功能评估
- 批准号:
10436207 - 财政年份:2021
- 资助金额:
$ 311.62万 - 项目类别:
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