ADDING ADDITIONAL FUNDS FOR OPTION PERIOD 1, TASK AREA 4, FOR CENTRALIZED OMICS RESOURCE (CORE) YEAR 5

为第 5 年集中组学资源（核心）的选项期 1、任务领域 4 增加额外资金

• 批准号: 10709853
• 负责人: DEBORAH NICKERSON
• 金额: $ 716.65万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-25 至 2023-09-24
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10709853
• 关键词: Area; Data; Data Coordinating Center; Data Set; Funding; Genomics; Informatics; National Heart, Lung, and Blood Institute; Phase; RNA; Research; Research Personnel; Resources; Sampling; Trans-Omics for Precision Medicine; Universities; Washington; base; next generation; programs; transcriptome sequencing

The objective of this task area (TA) is to provide high-throughput, next generation RNA sequencing (RNA-Seq) for study investigators selected by the National Heart, Lung, and Blood Institute (NHLBI) as part of the Trans-Omics for Precision Medicine (TOPMed) program. We will provide RNA-Seq data using a robust, automated pipeline previously established at the Northwest Genomics Center (NWGC) at the University of Washington. As we have done for past and current phases of TOPMed RNA projects, we will provide RNA-Seq datasets of the highest quality and coordinate our efforts with the NHLBI, TOPMed investigators, other sequencing centers, the Data Coordinating Center (DCC), and the Informatics Research Center (IRC). For this project, we will facilitate the objectives of the Centralized Omics Resource (CORE) and the TOPMed program by generating RNA-Seq data for as few as 1,000 samples to as many as 40,000 samples per year for the base year and four one-year option periods. As we have done in the past.

该任务领域（TA）的目标是为国家心肺血液中心（National Heart，Lung，and Blood）选择的研究者提供高通量的下一代RNA测序（RNA-Seq）。 研究所（NHLBI）作为Trans-Omics for Precision Medicine（TOPMed）计划的一部分。我们将使用先前在华盛顿大学西北基因组学中心（NWGC）建立的强大的自动化管道提供RNA-Seq数据。正如我们在TOPMed RNA项目的过去和当前阶段所做的那样，我们将提供最高质量的RNA-Seq数据集，并与NHLBI，TOPMed研究人员，其他测序中心，数据协调中心（DCC）和信息学研究中心（IRC）协调我们的工作。 对于该项目，我们将通过在基准年和四个一年的选择期内每年生成少至1，000个样本到多至40，000个样本的RNA测序数据，促进集中组学资源（CORE）和TOPMed计划的目标。就像我们过去所做的那样。