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Bioinformatics Core

Bioinformatics Core
生物信息学核心
批准号:
10733313
负责人:
Jinze Liu
金额:
$11.05万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-19 至 2028-06-30

项目摘要

项目成果

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中文摘要
翻译
项目总结/摘要 VCU的U4 HELPP的生物信息学核心的主要目标是提供数据管理,质量控制, 可再现的分析,数据存储,以及与PDXNet网络共享数据,以获取由 我们的项目此外,它还将提供集中的生物信息学、统计和方法学支持, 两个研究项目,试点项目,和未来的项目,将建立在他们身上。核心将作为 两项研究的实验设计、数据管理和统计分析要点 项目我们将通过三个目标来实现这些目标。第一个目标是制定协议, 维护一个中央数据、资源和样本管理系统,使多个 包括基因组学、基础科学和临床医学在内的学科。这一目标将确保所有数据和 分析是高质量的,符合良好实验室规范,并传播给所有人 PDXNet成员及时。第二个目标是提供生物信息学、统计学和 从项目启动到完成及以后的方法支持。第三个目标是提高质量 通过构建和应用祖先适当的参考, 基因组核心包括来自VCU生物统计学系的成员,生物信息学共享 梅西癌症中心(MCC)的资源和癌症信息学共享资源。
英文摘要
Project Summary/Abstract The primary goal of the Bioinformatics Core of VCU’s U4HELPP is to provide data management, quality control, reproducible analyses, data storage, and data sharing with the PDXNet network for all information generated by our project. In addition, it will provide centralized bioinformatics, statistical and methodological support for the two research projects, Pilot Project, and future projects that will build upon them. The Core will serve as the focal point governing the experimental design, data management, and statistical analyses for the two research projects. We will reach these goals through three aims. The first aim establishes the protocol to develop and maintain a central data, resource, and sample management system that enables an interface between multiple disciplines including genomics, basic science, and clinical medicine. This aim will ensure that all data and analyses are of high quality, conform to good laboratory practices specifications, and are disseminated to all PDXNet members in a timely fashion. The second aim will be to provide bioinformatics, statistics, and methodological support from project initiation through completion and beyond. The third aim will improve quality of analysis of sequencing data from minorities by constructing and applying the ancestry appropriate reference genome. The Core includes members from the Department of Biostatistics at VCU, the Bioinformatics Shared Resource and Cancer Informatics Shared Resource at Massey Cancer Center (MCC).
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Unlocking transcript diversity via differential analyses of splice graphs
Unlocking transcript diversity via differential analyses of splice graphs
Unlocking transcript diversity via differential analyses of splice graphs
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