Research Program: Biostatistics and Computational Biology

研究项目：生物统计学和计算生物学

• 批准号: 8804802
• 负责人: Charles L Kooperberg
• 金额: $ 7.13万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-02-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8804802
• 关键词: AIDS/HIV problem; Address; Adopted; Area; Bioinformatics; Biological Markers; Biometry; Cancer Center Support Grant; Clinical; Companions; Complex; Computational Biology; Computing Methodologies; Data; Data Set; Development; Diagnosis; Diagnostic; Early Detection Research Network; Epidemiology; Evaluation; Faculty; Fellowship; Funding; Gene Expression Profile; Goals; Grant; Human Genome; Immune response; Institution; Laboratories; Leadership; Longitudinal Studies; Malignant Neoplasms; Manuscripts; Methodology; Methods; Molecular; Molecular Biology; Natural History; Nephroblastoma; Paper; Peer Review; Peer Review Grants; Prevention Research; Proteome; Publishing; Research; Research Personnel; Schools; Southwest Oncology Group; Statistical Methods; Stratification; Structure; Translations; Variant; Women' s Health; Work; adaptive immunity; anticancer research; base; biological research; cancer risk; genome-wide; interest; mathematical methods; member; method development; personalized medicine; prevent; programs; statistical center; working group

Biostatistics and Computational Biology Program The Biostatistics and Computational Biology Program carries out quantitative and computational research in a variety of areas relevant to understanding issues related to cancer. Program interests span a range of activities, from the technical development of quantitative or experimental methodologies to activities that emphasize substantive research programs in epidemiology, to biological research programs that use experimental approaches alongside computational methods. Program strengths include the development of rigorous statistical and mathematical methods for personalized medicine and molecular diagnostics, understanding the molecular biology of the adaptive immune response, and the development of approaches that address high impact opportunities in cancer research - including methods for the analysis of complex association studies and longitudinal data, and experimental/ computational methods that characterize variations in quantity, sequence, and structure of the human genome, transcriptome, and proteome. The program members also have leadership activities that impact cancer research at a national level, including a number of U01s, a variety of statistical coordinating centers -- the Southwest Oncology Group (SWOG), the National Wilms Tumor Study, the Women's Health Initiative (WHI), the Statistical Centers for the HIV/AIDS Research & Prevention (SCHARP), and the Early Detection Research Network (EDRN) - and the leadership of multiple widely adopted computing platforms. The goals of the program are (i) to develop rigorous statistical and mathematical methods relevant to predictive and personalized medicine; (ii) to develop and use experimental, technological, and companion computational or mathematical methods to gain understanding of the natural history of cancer; and (iii) to promote development, dissemination and use of statistical and computational methods in cancer research. The Biostatistics and Computational Biology Program has 42 members, 93% of whom have external funding or are new faculty members, across two institutions, three schools and seven departments. Members published a total of 813 papers in the previous grant period. Program members are highly collaborative and routinely work with epidemiological, clinical, and laboratory-based researchers in other programs to support the translation of our expertise across the CCSG - 54% of our manuscripts were inter-programmatic, 10% were intra- programmatic, and 19% inter-institutional . Our members have been successful in obtaining funding to support their research programs. Peer reviewed funding (direct) is $10.9M of which $5.4M is from NCI, and includes many single-investigator R01s, several U01s, a longstanding P01, a variety of other peer reviewed grants or fellowships, and large-scale collaborative working groups.

生物统计学和计算生物学项目 生物统计学和计算生物学项目在以下领域开展定量和计算研究 与理解癌症相关问题相关的各个领域。项目兴趣涵盖一系列 活动，从定量或实验方法的技术开发到以下活动： 强调流行病学方面的实质性研究计划，以及使用 实验方法与计算方法一起。计划的优势包括开发 用于个性化医疗和分子诊断的严格统计和数学方法， 了解适应性免疫反应的分子生物学以及方法的开发 解决癌症研究中的高影响机会 - 包括复杂的分析方法 关联研究和纵向数据，以及表征的实验/计算方法 人类基因组、转录组和蛋白质组的数量、序列和结构的变化。这 计划成员还开展影响国家层面癌症研究的领导活动，包括 U01 的数量、各种统计协调中心——西南肿瘤学组 (SWOG)、 国家肾母细胞瘤研究、妇女健康倡议 (WHI)、艾滋病毒/艾滋病统计中心 研究与预防 (SCHARP) 和早期检测研究网络 (EDRN) - 以及 多个广泛采用的计算平台。 该计划的目标是 (i) 开发与预测相关的严格统计和数学方法 和个性化医疗； (ii) 开发和使用实验、技术和配套计算 或数学方法来了解癌症的自然史； (iii) 促进 癌症研究中统计和计算方法的开发、传播和使用。 生物统计学和计算生物学项目有 42 名成员，其中 93% 拥有外部资助或 是来自两个机构、三个学院和七个系的新教师。会员发表了 上一资助期的论文总数为 813 篇。项目成员具有高度协作性并且按部就班地工作 与其他项目的流行病学、临床和实验室研究人员合作，支持翻译 我们在 CCSG 中的专业知识 - 54% 的稿件是跨项目的，10% 是内部的 程序化，19% 是机构间的。我们的成员已成功获得资金支持 他们的研究计划。同行评审资金（直接）为 1090 万美元，其中 540 万美元来自 NCI，包括 许多单一研究者 R01、几个 U01、一个长期存在的 P01、各种其他同行评审资助或 研究金和大型协作工作组。