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）共享资源对于实现JAX癌至关重要 中心（JAXCC）科学计划目标。随着癌症研究变得越来越密集，IT 至关重要的是，研究人员能够解释和利用大量数据集，既可以公开可用，又 内部生成，以了解肿瘤生物学。这样的数据分析需要访问一个动态套件 分析工具；支持这些工具的基础架构；计算，生物信息学和统计专业知识 矿山并分析数据；以及定量分析师和软件工程师，以开发和构建查询以及 算法。 CS成立于1998年，自2001年以来一直在JAXCC中作为共享资源运行，但 在2013年大大扩展。41个成员CS小组通过提供深入的方式来解决教师需求 向JAXCC成员提供专业知识，以支持其独立的研究项目。这包括指导 实验设计；支持集成多平台数据集，数据分析软件应用程序 和数据库开发；计算程序，统计方法的开发和应用 科学软件；和项目管理。 CS还提供培训和指导机会 计算癌症研究方法和管理癌症必不可少的大量分析管道 JAXCC成员进行的基因组研究。员工包括计算的多学科组合 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，软件开发中带来了大量的专业知识 机器学习，单细胞基因组学和整合分析，与JAXCC成员的需求一致。 CS的三个运营组（统计和分析，科学计算，研究项目管理）是 我和CT校园的巴尔港，我和法明顿，每个人都支持JAXCC成员 校园。 PI以模块化的方式运作，可以访问适合经验的专业知识的正确组合 他们的科学需求。 CS的具体目的是：1）支持JAXCC成员开发尖端 癌症基因组学中出现问题的分析程序，并在 基本和转化癌研究； 2）开发生物信息学应用程序，保持科学 分析工作流，并为开发提供数据架构和软件工程专业知识 与JAXCC成员解决的特定科学问题有关的科学数据门户的管理； 3）为复杂的计算项目和长期管理提供资源计划和管理 JAXCC成员的信息技术和数据科学开发。