Colorado HNC SPORE Data Sciences Core

科罗拉多州 HNC SPORE 数据科学核心

• 批准号: 10268843
• 负责人: Dexiang Gao
• 金额: $ 14.47万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10268843
• 关键词: Animal Experiments; Area; Award; Basic Science; Bioinformatics; Bioinformatics Shared Resource; Biological Markers; Biometry; Categories; Cells; Clinic; Clinical Data; Clinical Research; Clinical Trials; Clinical Trials Design; Collaborations; Colorado; Communication; Community of Practice; Data Analyses; Data Collection; Data Science; Data Science Core; Development; Doctor of Philosophy; Ensure; Epidemiologist; Evaluation; Experimental Designs; Extramural Activities; Faculty; Focus Groups; Formulation; Genetic; Genetic Transcription; Genomics; Grant; Head and Neck Cancer; Head and neck structure; Human Resources; Immunological Models; Immunotherapy; In Vitro; Individual; Informatics; Investigation; Laboratories; Lead; Leadership; Link; Malignant Neoplasms; Manuscripts; Methods; Mission; Multiomic Data; Mus; Observational Study; Outcome; Paper; Pathology; Peer Review; Play; Population Study; Predictive Value; Preparation; Process; Proteins; Proteomics; Publishing; Radiation; Recording of previous events; Reporting; Research; Research Design; Research Methodology; Research Personnel; Research Support; Resources; Retrieval; Ribosomes; Role; Sample Size; Services; Speed; Statistical Models; Structure; T cell receptor repertoire sequencing; T-Lymphocyte; Techniques; Testing; The University of Colorado Cancer Center; Therapeutic; Time; Translating; Translational Research; Universities; anticancer research; base; career; data management; database design; density; design; effectiveness research; electronic data capture system; experience; improved; in vivo; innovation; large datasets; member; next generation; novel; pre-clinical research; preclinical study; predictive modeling; prognostic value; programs; quality assurance; response; single cell mRNA sequencing; single-cell RNA sequencing; small molecule; software development; therapeutic target; tool; trafficking; translational study; whole genome

SUMMARY, Data Science Core The University of Colorado Head and Neck Cancer (CO HNC) SPORE Data Science Core (DSC) provides services for biostatistics, informatics, bioinformatics, and other data science related analyses. The DSC staff is comprised of five Ph.D. and one Master’s level researchers who collectively offer substantial expertise in clinical trial design and analysis; statistical genetics, multi-omics data analysis; software development; predictive modeling; and cancer-focused bioinformatics. The core includes a comprehensive team of biostatisticians, bioinformaticians, and an epidemiologist, that form a hub of researchers with the common denominator of being engaged in HNC research through exisiting collaborations. The DSC has the overarching objective to build a community of practice related to HNC data science. All staff are operationally managed and overseen by the DSC Director, Dexiang Gao Ph.D, and like all faculty in the CO HNC SPORE the DSC faculty are members of the University of Colorado Cancer Center (UCCC), specifically the Biostatistical and Bioinformatics shared resource (BBSR). The BBSR has a long-standing history of collaboration with the Head and Neck research team over the past 10 years. Faculty biostatisticians and bioinformaticians are engaged in the development of novel methods and tools that enhance the HNC SPORE. Since 2015, faculty within the DSC published ~20 peer- reviewed manuscripts (with an additional 5 in preparation) and collaborated on 9 peer-reviewed extramural R01 grants with HNC SPORE investigators, 4 of which are active awards. By harnessing these established collaborations, the DSC can effectively and efficiently support CO HNC SPORE projects. Integrating personnel within a Core to support all SPORE programs will maximize available resources to increase the DSC’s scientific impact. Specifically, the DSC will provide assistance with research hypotheses formulation, clinical trial designs, sample size determination, analytical and database design, data collection, analyses, management and storage. This support will continue through management and coordination of accumulating research and clinical data analyses, assistance with manuscript preparation and clinical trial reports in relation to key quantitative findings and rigorous scientific conclusions. Thus, the DSC will play a critical role in clinical trials, as well as basic science and translational studies.

摘要，数据科学核心 科罗拉多大学头颈癌（CO HNC）孢子数据科学核心（DSC）提供 生物统计学，信息信息，生物信息学和其他与数据科学相关的分析的服务。 DSC工作人员是 完成五位博士学位一位硕士的研究人员共同提供临床方面的丰富专业知识 试验设计和分析；统计遗传学，多词数据分析；软件开发；预测性 造型;和以癌症为中心的生物信息学。核心包括一个全面的生物统计学家团队， 生物信息学家和一名流行病学家，构成了研究人员的枢纽 通过现有合作从事HNC研究。 DSC具有建立一个的总体目标 与HNC数据科学有关的实践社区。所有员工均在运营和海外管理 DSC主任Dexiang Gao博士，与CO HNC Spore的所有教师一样，DSC教职员工也是 科罗拉多大学癌症中心（UCCC），特别是生物统计和生物信息学共享 资源（BBSR）。 BBSR与Head and Neck Research团队有一段长期的合作历史 在过去的十年中。教师生物统计学家和生物信息学家从事小说的发展 增强HNC孢子的方法和工具。自2015年以来，DSC中的教师出版了约20个同行 审查手稿（准备额外准备），并合作进行了9次同行评审外校外R01 授予HNC孢子调查人员的赠款，其中4个是主动奖项。通过利用这些建立 DSC合作可以有效，有效地支持HNC孢子项目。整合人员 在支持所有孢子计划的核心中，将最大化可用资源以增加DSC的科学资源 影响。具体而言，DSC将提供有关研究假设公式，临床试验设计的帮助， 样本大小确定，分析和数据库设计，数据收集，分析，管理和存储。 通过管理和协调累积研究和临床数据，这种支持将继续 与关键定量发现有关的分析，手稿准备和临床试验报告 和严格的科学结论。这是DSC将在临床试验以及基础科学中发挥关键作用 并翻译研究。