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计划 生物统计学和计算生物学计划在A中进行定量和计算研究 与了解与癌症有关的问题有关的各种领域。计划兴趣范围 活动，从定量或实验方法的技术开发到活动 强调流行病学中的实质性研究计划，以使用使用的生物学研究计划 实验方法以及计算方法。计划优势包括开发 个性化医学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发展 该解决癌症研究的高影响机会 - 包括用于分析复杂的方法 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 计划成员还进行领导活动，影响国家一级的癌症研究，包括 U01的数量，各种统计协调中心 - 西南肿瘤学集团（SWOG）， 国家威尔姆斯肿瘤研究，妇女健康计划（WHI），艾滋病毒/艾滋病的统计中心 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）开发与预测性相关的严格统计和数学方法 和个性化医学； （ii）开发和使用实验，技术和伴侣计算 或数学方法以了解癌症的自然历史； （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计划有42名成员，其中93％有外部资金或 是两家机构，三所学校和七个部门的新教师。成员出版了 在上一个赠款期间总共有813篇论文。计划成员是高度协作的，并且经常工作 通过其他计划中的流行病学，临床和实验室研究人员，以支持翻译 我们在CCSG中的专业知识 - 我们的手稿中有54％是截面的，10％是内部的 程序化和19％的机构间。我们的成员已经成功获得了资金以支持 他们的研究计划。同行审查的资金（直接）为1090万美元，其中540万美元来自NCI，其中包括 许多单一评论者R01，几个U01，一个长期的P01，其他各种同行审查的赠款或 奖学金和大规模合作工作组。