Computational Sciences Shared Resource

计算科学共享资源

• 批准号: 10382346
• 负责人: Jeffrey Hsu-Min Chuang
• 金额: $ 26.1万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10382346
• 关键词: Abbreviations; Achievement; Address; Algorithms; Architecture; Area; Artificial Intelligence; Big Data Methods; Bioinformatics; Biometry; Cancer Biology; Cancer Center; Cancer Research Infrastructure; Cancer Research Project; Cells; Clinical; Collection; Complex; Computational Science; Computer software; Computers; Consult; Core Grant; Data; Data Analyses; Data Science; Data Set; Databases; Development; Experimental Designs; Faculty; Funding; Genomics; Goals; High Performance Computing; Hybrids; Individual; Information Technology; Infrastructure; Laboratories; Machine Learning; Malignant Neoplasms; Mentorship; Names; Ownership; Procedures; Quantitative Trait Loci; Research; Research Personnel; Research Project Grants; Research Support; Resource Sharing; Resources; Scientist; Services; Software Engineering; Statistical Methods; System; Training; Tumor Biology; analysis pipeline; analytical tool; anticancer research; cancer genomics; cost; data portal; design; experience; member; metabolomics; multidisciplinary; programs; response; scientific computing; skills; software development; statistics; tool; translational cancer research

PROJECT SUMMARY COMPUTATIONAL SCIENCES The JAX Computational Sciences (CS) Shared Resource is central to the achievement of the JAX Cancer Center's (JAXCC) scientific program objectives. As cancer research has become increasingly data intensive, it is vital that investigators be capable of interpreting and leveraging vast data sets, both publicly available and internally generated, to understand tumor biology. Such data analysis requires access to a dynamic suite of analytical tools; infrastructure supporting those tools; computational, bioinformatic and statistical expertise to mine and analyze the data; and quantitative analysts and software engineers to develop and build queries and algorithms. Established in 1998, CS has been operating as a shared resource within the JAXCC since 2001 but was dramatically expanded in 2013. The 41 member CS group addresses faculty needs by providing in-depth expertise to JAXCC members in support of their independent research projects. This includes guidance in experimental design; support for the integration of multi-platform data sets, data analysis software applications and database development; development and application of computational procedures, statistical methods and scientific software; and project management. CS also provides training and mentorship opportunities in computational cancer research approaches and manages a plethora of analysis pipelines essential for cancer genomic research conducted by JAXCC members. Staff include a multi-disciplinary mix of computational biologists, computer scientists, statisticians, bioinformatics software engineers, and research project managers, who bring significant depth of expertise in cancer genomics, metabolomics, biostatistics, software development, machine learning, single cell genomics and integrative analysis, consistent with the needs of JAXCC members. CS' three operational groups (Statistics and Analysis, Scientific Computing, Research Project Management) are housed on the Bar Harbor, ME and Farmington, CT campuses, and each supports JAXCC members on both campuses. Functioning in a modular manner, PIs can access the right mix of experienced expertise tailored to their scientific needs. The Specific Aims for CS are: 1) To support JAXCC members in developing cutting-edge analytical procedures for emerging problems in cancer genomics, and to carry out integrative analysis in fundamental and translational cancer research; 2) To develop bioinformatics applications, maintain scientific analysis workflows, and provide data architecture and software engineering expertise for the development and management of scientific data portals pertaining to specific scientific questions addressed by JAXCC members; and 3) To assist in resource planning for and management of complex computational projects and long-term information technology and data science development for JAXCC members.

项目摘要计算科学 JAX 计算科学 (CS) 共享资源是实现 JAX 癌症的核心 中心 (JAXCC) 的科学计划目标。随着癌症研究变得越来越数据密集， 至关重要的是，调查人员能够解释和利用大量数据集，无论是公开的还是 内部生成，以了解肿瘤生物学。此类数据分析需要访问动态套件 分析工具；支持这些工具的基础设施；计算、生物信息和统计专业知识 挖掘和分析数据；定量分析师和软件工程师开发和构建查询 算法。 CS 成立于 1998 年，自 2001 年以来一直作为 JAXCC 内的共享资源运行，但 2013 年大幅扩展。由 41 名成员组成的 CS 小组通过提供深入的课程来满足教师的需求 向 JAXCC 成员提供专业知识，以支持他们的独立研究项目。这包括以下方面的指导 实验设计；支持多平台数据集集成、数据分析软件应用 和数据库开发；计算程序、统计方法和技术的开发和应用 科学软件；和项目管理。 CS 还提供以下方面的培训和指导机会 计算癌症研究方法和管理大量对癌症至关重要的分析流程 JAXCC 成员进行的基因组研究。工作人员包括多学科的计算人员 生物学家、计算机科学家、统计学家、生物信息学软件工程师和研究项目经理， 他们在癌症基因组学、代谢组学、生物统计学、软件开发、 机器学习、单细胞基因组学和综合分析，符合 JAXCC 成员的需求。 CS 的三个业务小组（统计与分析、科学计算、研究项目管理）分别是 位于缅因州巴港和康涅狄格州法明顿校区，每个校区都为 JAXCC 成员提供支持 校园。以模块化方式运作，PI 可以获取经验丰富的专业知识的正确组合，以满足不同的需求 他们的科学需求。 CS 的具体目标是： 1) 支持 JAXCC 成员开发尖端技术 癌症基因组学中新问题的分析程序，并进行综合分析 基础和转化癌症研究； 2）发展生物信息学应用，保持科学性 分析工作流程，并为开发和提供数据架构和软件工程专业知识 管理与 JAXCC 成员解决的具体科学问题有关的科学数据门户； 3) 协助复杂计算项目和长期项目的资源规划和管理 JAXCC 成员的信息技术和数据科学开发。