Core 004 (377) Cancer Informatics

核心 004 (377) 癌症信息学

• 批准号: 10230147
• 负责人: Brooke L Fridley
• 金额: $ 0.45万
• 依托单位: H. LEE MOFFITT CANCER CTR & RES INST
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-02-18 至 2022-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10230147
• 关键词: Age; Awareness; Behavioral; Big Data; Biochemical; Bioinformatics; Biological; Biological Factors; Biological Process; Biomedical Research; Biostatistics Core; Cancer Center; Cancer Center Support Grant; Clinical Data; Collaborations; Communities; Complex; Computer software; Core Facility; Custom; Data; Data Analyses; Data Collection; Data Reporting; Discipline; Disease; Environmental Risk Factor; Epidemiology; Exons; Experimental Designs; Expression Profiling; Faculty; Foundations; Funding; Genes; Genetic Research; Genome; Genomics; Goals; Grant; Health; Human Genome; Individual; Informatics; Internet; Journals; Knowledge; Link; Malignant Neoplasms; Mass Spectrum Analysis; Methodology; Methylation; Molecular; Nature; Outcome; Pathway interactions; Patients; Peer Review; Phenotype; Population Study; Process; Proteins; Proteome; Proteomics; Publications; Quality of life; Reporting; Research; Research Activity; Research Support; Resource Sharing; Resources; Scientist; Services; Systems Biology; Techniques; Technology; Therapeutic; Training; Translational Research; Variant; Visualization; Work; anticancer research; base; bioinformatics resource; bioinformatics tool; biomedical Computer science; cBioPortal; cohort; cost effective; data management; data tools; density; design; exome; high throughput technology; human genome sequencing; informatics tool; member; method development; next generation sequencing; precision medicine; programs; research study; service member; tool; transcriptome sequencing; whole genome

PROJECT SUMMARY Analyzing, managing, and interpreting data accumulated in the age of accessible genomics involves tremendous challenges. A shared resource consisting of informatics and computational scientists, a group of specially trained professionals who understand both biomedical and computer science methodologies, fills the collaboration gap between members, IT professionals, and computational scientists. The overall goal of the Cancer Informatics Core (CIC) is to facilitate the biomedical and translational research of Moffitt Cancer Center (MCC) members through implementation and development of methods and tools to record, integrate, manage, analyze, visualize, and share biomedical, behavioral, and clinical data. To accomplish its goal, the CIC's Specific Aims are to: 1) Support members' 'omics projects with bioinformatics project design, analysis, biological interpretation, and visualizations: The CIC provides bioinformatics and big data analysis and collaborates closely with the Biostatistics Core (BC) to provide seamless analytical services for member projects involving expression profiling, next-generation sequencing, and proteomics. Services include QC, normalization, batch correction, phenotypic analysis, and biological pathway enrichment. 2) Support members' data management and reporting needs with study-specific informatics tools: Complex, study-specific data are collected for member biomedical research studies, including large multi- project studies such as SPOREs. 3) Provide educational opportunities to train members and staff on the use of bioinformatics resources and tools: Public resources are available for members and staff to extract biomedical data and knowledge, leveraging work of the entire scientific community. The CIC provides training for members for awareness of and access to these resources directly. The CIC includes three faculty members, a core facility manager, five staff scientists, and three software developers. CIC bioinformatics faculty devote 50-70% effort to MCC collaborative research activities, supported by CCSG, other grant, and institutional funding. Staff scientists and software developers are dedicated 100% to the CIC, supported by CCSG funding, chargebacks, and institutional support. CIC faculty and staff members are involved in all stages of scientific research, from supporting experimental design (with the Biostatistics Core) to publication of research findings. The CIC has provided significant impact in member research studies through bioinformatics analysis in genomics, proteomics, and expression profiling resulting in high-impact publications in journals such as Nature Genetics and Cancer Research. Over the past five years, the CIC has supported scientific projects of members of all programs, resulting in 62 publications. In the most recent fiscal year, the CIC supported 35 members, with 84% of usage by peer-review-funded members.

项目摘要 分析、管理和解释在可访问的基因组学时代积累的数据涉及 巨大的挑战一个由信息学和计算科学家组成的共享资源， 经过专门培训的专业人员了解生物医学和计算机科学方法， 成员、IT专业人员和计算科学家之间的协作差距。的总体目标 癌症信息学核心（CIC）是促进莫菲特癌症中心的生物医学和转化研究 (MCC)成员通过实施和开发方法和工具，记录，整合，管理， 分析、可视化和共享生物医学、行为和临床数据。为了实现这一目标，CIC 具体目标是： 1)通过生物信息学项目的设计、分析、生物信息学和生物信息学等方面支持成员的组学项目。 解释和可视化：CIC提供生物信息学和大数据分析， 与生物统计核心（BC）密切合作，为成员提供无缝的分析服务。 涉及表达谱、下一代测序和蛋白质组学的项目。服务包括QC， 标准化、批量校正、表型分析和生物途径富集。 2)使用研究专用信息学工具支持成员的数据管理和报告需求： 为成员生物医学研究收集复杂的、特定于研究的数据，包括大型多学科研究。 项目研究，如SPORE。 3)提供教育机会，培训成员和工作人员使用生物信息学 资源和工具：成员和工作人员可利用公共资源提取生物医学数据， 知识，利用整个科学界的工作。议会为会员提供以下培训： 了解并直接获取这些资源。 CIC包括三名教职员工，一名核心设施经理，五名科学家和三名软件 开发者CIC生物信息学院将50-70%的精力投入到MCC的合作研究活动中， 由CCSG、其他赠款和机构资金支持。科学家和软件开发人员 将100%的资金用于CIC，并得到CCSG资金、退款和机构支持的支持。CIC教师 和工作人员参与科学研究的各个阶段，从支持实验设计（ 生物统计学核心），以发表研究结果。CIC在成员国中发挥了重要影响 通过基因组学、蛋白质组学和表达谱的生物信息学分析进行研究， 在《自然遗传学》和《癌症研究》等期刊上发表高影响力的论文。在过去的五年里， CIC支持了所有项目成员的科学项目，发表了62篇论文。最 在最近一个财政年度，CIC支持了35个成员，其中84%的使用量来自同行评审资助的成员。