Computational Sciences Shared Resource

预防科学项目概要 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的数据集，无论是公开的， 内部产生的，来理解肿瘤生物学。这种数据分析需要访问一套动态的 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， 在2013年急剧扩张。41名成员的CS组通过提供深入的 为JAXCC成员提供专业知识，以支持他们的独立研究项目。这包括指导 实验设计;支持多平台数据集的整合，数据分析软件的应用 和数据库开发;开发和应用计算程序、统计方法和 科学软件和项目管理。政务司司长还提供培训和师友机会， 计算癌症研究方法和管理过多的分析管道对癌症至关重要 JAXCC成员进行的基因组研究。工作人员包括一个多学科的混合计算 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。 政务司司长辖下的三个业务小组（统计及分析、科学计算及研究项目管理）分别为 位于缅因州巴尔港和康涅狄格州法明顿校区，每个校区都支持JAXCC成员 校园。PI以模块化的方式运作，可以访问合适的经验丰富的专业知识， 他们的科学需求。CS的具体目标是：1）支持JAXCC成员开发尖端的 癌症基因组学中新出现的问题的分析程序，并进行综合分析， 基础和转化癌症研究; 2）开发生物信息学应用，保持科学 分析工作流程，并提供数据架构和软件工程专业知识， 管理与JAXCC成员处理的具体科学问题有关的科学数据门户; 和3）协助复杂计算项目的资源规划和管理， 为JAXCC成员提供信息技术和数据科学发展。

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.