Data and Omics Sciences Core (DATAOmics)

数据和组学科学核心 (DATAOmics)

基本信息

批准号：
10466876
负责人：
Xuelin Huang
金额：
$ 9.24万
依托单位：
UNIVERSITY OF TX MD ANDERSON CAN CTR
依托单位国家：
美国
项目类别：
财政年份：
2002
资助国家：
美国
起止时间：
2002-08-16 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10466876
关键词：
Address Applications Grants Area Big Data Bioinformatics Biometry Cancer Center Cancer Research Project Collaborations Communication Comprehensive Cancer Center Computers Consult Creativeness Data Data Analyses Data Science Development Dimensions Education and Outreach Educational Activities Educational workshop Ensure Epidemiologist Epidemiology Ethics Etiology Evaluation Flow Cytometry Funding Future Gene Expression Genome Genomics Goals Hispanic Populations Infection Infrastructure Journals Malignant Neoplasms Manuscripts Mass Spectrum Analysis Methodology Methods Minority Modeling Modernization National Cancer Institute Participant Peer Review Pharmacogenomics Phase Pilot Projects Procedures Productivity Proteomics Publications Puerto Rico Quality Control Reporting Research Research Design Research Methodology Research Personnel Research Project Grants Science Statistical Data Interpretation Statistical Methods Study models Taxonomy Techniques Technology Time Training Translational Research Universities Work anticancer research cancer education career data management database design design education research epigenomics experience graduate student health disparity high throughput analysis improved innovation laboratory experience lipidomics metabolomics microbiome microbiome research next generation sequencing programs research and development skills success transcriptomics undergraduate student

项目摘要

DATA AND OMICS SCIENCES CORE (DATAOmics) PROJECT SUMMARY/ABSTRACT The primary objective of the Data and Omics Sciences Core (DATAOmics) is to assist the work of the Infection-Driven Malignancies Program for Advancing Careers and Translational Sciences (IMPACT), a cancer research partnership between the University of Puerto Rico (UPR) and the MD Anderson Cancer Center (MDACC), through an enhanced infrastructure to support IMPACT's research, education, and outreach activities, in quantitative analyses and scientific reporting. We propose to expand and strengthen the relationships between IMPACT and the UPR Comprehensive Cancer Center by establishing a formal unit to support their researchers and participants (undergraduate and graduate students) in areas such as biostatistics, epidemiology, bioinformatics and Omics sciences. DATAOmics capabilities will be enhanced, with respect to the previous Biostatistics, Epidemiology and Bioinformatics Core (BEBiC) in at least two ways: 1) the incorporation of a new investigator with experimental and analytical expertise in Omics sciences, particularly in next generation sequencing and mass spectrometry, and with wet lab experience, a dimension which is now of paramount importance in modern cancer research, particularly for Full Project A and Pilot Project A; and 2) by adding a small and fully dedicated computer server to DATAOmics, which will enhance our computational ability to undertake realistic bioinformatics and Omics problems and will enable participants to be trained in bioinformatics analyses. The overall goal of DATAOmics is to enhance the productivity of IMPACT's research projects through the provision of high-quality and timely biostatistics, data sciences, bioinformatics and Omics advice and consultancy at all stages of research. The specific aims of DATAOmics are: 1) Provide support and consulting on study design, data gathering and management, and statistical analysis to all research projects; 2) Increase cancer research capacity in design and statistical analyses in biostatistics, data sciences, bioinformatics and Omics through educational activities for our researchers and participants; and 3) Develop and apply innovative biostatistics and bioinformatics methodologies to the cancer research projects initiated by our researchers. DATAOmics will include two components: 1) Biostatistics and Data Science, and 2) Bioinformatics and Omics Sciences. The Biostatistics and Data Science component at UPR will have two statisticians and one epidemiologist dedicated to the methodological and statistical aspects of the research projects. MDACC will engage one senior biostatistician and one senior data analyst. The Bioinformatics and Omics Sciences components at UPR will have two bioinformaticians engaged in the bioinformatics facets of the projects in a broad sense (including: genomics, transcriptomics, pharmacogenomics, proteomics, epigenomics, metabolomics, lipidomics, and microbiomics), and MDACC will allocate one senior bioinformatician.

数据和组学科学核心 (DATAOmics) 项目概要/摘要数据和组学科学核心 (DATAOmics) 的主要目标是协助感染驱动的恶性肿瘤促进职业和转化科学计划 (IMPACT)，一种癌症波多黎各大学 (UPR) 与 MD 安德森癌症中心之间的研究合作伙伴关系 (MDACC)，通过增强的基础设施来支持 IMPACT 的研究、教育和推广活动，定量分析和科学报告。我们建议扩大和加强 IMPACT 和 UPR 综合癌症中心之间的关系，通过建立一个正式单位来在以下领域支持他们的研究人员和参与者（本科生和研究生）生物统计学、流行病学、生物信息学和组学科学。 DATAOmics 的能力将得到增强，至少在两个方面尊重之前的生物统计学、流行病学和生物信息学核心（BEBiC）：1）纳入一位具有组学科学实验和分析专业知识的新研究者，特别是在下一代测序和质谱分析方面，并且凭借湿实验室经验，一个维度这在现代癌症研究中至关重要，特别是对于 Full Project A 和 Pilot 项目A； 2) 通过向 DATAOmics 添加小型且完全专用的计算机服务器，这将增强我们的计算能力能够解决现实的生物信息学和组学问题，并使参与者能够接受生物信息学分析培训。 DATAOmics 的总体目标是提高生产力 IMPACT 的研究项目通过提供高质量和及时的生物统计学、数据科学、研究各个阶段的生物信息学和组学建议和咨询。 DATAOmics 的具体目标是： 1）提供研究设计、数据收集和管理以及统计方面的支持和咨询对所有研究项目进行分析； 2) 提高癌症研究的设计和统计分析能力通过为我们的研究人员和研究人员提供的教育活动，了解生物统计学、数据科学、生物信息学和组学参与者； 3) 开发并应用创新的生物统计学和生物信息学方法来治疗癌症由我们的研究人员发起的研究项目。 DATAOmics 将包括两个组成部分：1) 生物统计学和数据科学，2) 生物信息学和组学科学。生物统计学和数据科学部分位于 UPR 将有两名统计学家和一名流行病学家专门负责方法和统计方面的工作研究项目。 MDACC 将聘请一名高级生物统计学家和一名高级数据分析师。这 UPR 的生物信息学和组学科学部分将有两名生物信息学家从事广义上的项目的生物信息学方面（包括：基因组学、转录组学、药物基因组学、蛋白质组学、表观基因组学、代谢组学、脂质组学和微生物组学），并且 MDACC 将配备高级生物信息学家1名。