Data and Omics Sciences Core (DATAOmics)

数据和组学科学核心 (DATAOmics)

• 批准号: 10020957
• 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
• 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/10020957
• 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; Hispanics; 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; metabolomics; microbiome; microbiome research; next generation sequencing; programs; research and development; skills; success; transcriptomics; undergraduate student

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.

数据和法学科学核心（数据组学） 项目摘要/摘要 数据和法学科学核心（数据组学）的主要目的是协助 感染驱动的恶性肿瘤计划，用于促进职业和转化科学（影响），癌症 波多黎各大学（UPR）和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，教育和外展 活动，定量分析和科学报告。我们建议扩大和加强 影响与UPR综合癌症中心之间的关系通过建立正式单位 支持其研究人员和参与者（本科生和研究生） 生物统计学，流行病学，生物信息学和法学科学。数据组学功能将得到增强，并随之增强 尊重以前的生物统计学，流行病学和生物信息学核心（BEBIC）至少两种方式：1） 将新研究者与奥米斯科学的实验和分析专业知识合并， 特别是在下一代测序和质谱法中，并且具有湿实验室的经验，尺寸 现在在现代癌症研究中至关重要，特别是对于完整的项目和飞行员 项目2）通过将小型专用的计算机服务器添加到数据组学中，这将增强 我们承担现实的生物信息学和幻象问题的计算能力，并将使参与者 接受生物信息学分析的培训。数据组学的总体目标是提高 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， 在研究的各个阶段，生物信息学和OMICS的建议和咨询。数据组学的具体目的 是：1）提供有关研究设计，数据收集和管理以及统计的支持和咨询 对所有研究项目的分析； 2）提高设计和统计分析的癌症研究能力 生物统计学，数据科学，生物信息学和法律学通过教育活动为我们的研究人员和 参与者； 3）为癌症开发和应用创新的生物统计学和生物信息学方法 我们的研究人员发起的研究项目。数据组学将包括两个组成部分：1）生物统计学和 数据科学以及2）生物信息学和法学科学。生物统计学和数据科学组成部分 UPR将有两个统计学家和一名流行病学家致力于方法论和统计方面 研究项目。 MDACC将与一位高级生物统计学家和一位高级数据分析师联系。这 UPR的生物信息学和法学科学组成部分将有两名生物信息学家参与 从广义上讲，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，脂肪组学和微生物组学）和MDACC将会 分配一位生物信息学家。