MOSAIC: Data Integration and Computation Core

摘要：数据集成和重新配置核心 任何综合、协作、多机构努力的一个主要挑战是集中管理和 共享数据的综合。数据集成和计算核心将是我们的每一个部分的核心， 马约/哥伦比亚CSBC数学肿瘤系统分析成像中心（MOSAIC），吸收 不同的数据类型和来源。该核心的主要使命是为数据资源提供基础设施 管理，包括建模工具和支持。 数据集成核心将容纳和集成生物样本核心生成的数字数据， 为建模工具提供中央资源，以支持我们的CSBC，并与政府互动 确保IRB合规性的核心。我们将实现数据集成和计算核心的使命 通过三个具体目标。在目标1中，我们收集、处理和存储所有CSBC站点的数据。在目标2中， 提供并整合可重复的生物信息学工作流程。在目标3中，我们提供了计算模型， 工具和技术。 数据集成核心将为这两个项目提供支持。 ·项目1：靶向胶质瘤组织状态将利用图像定位活检位置。他们将进一步 利用所提供的生物信息学，利用通过该核心访问的存储的分子数据。 ·项目2：对患者体内的动态组织状态进行成像将利用存储的分子和组织状态。 成像数据沿着所有分割和生成的图像特征。项目2还将使 使用机械建模和校准支持沿着生物信息学支持。

SUMMARY: DATA INTEGRATION AND COMPUTATION CORE A major challenge to any integrated, collaborative, multi-institutional effort is the centralized management and synthesis of shared data. The Data Integration and Computation Core will be central to every part of our Mayo/Columbia CSBC Mathematical Oncology Systems Analysis Imaging Center (MOSAIC), assimilating diverse data types and sources. The primary mission of this Core is to provide infrastructure for data resource management, including modeling tools and support. The Data Integration Core will house and integrate the digital data generated by the Biospecimen Core while providing a central resource for modeling tools to support our CSBC and interacting with the Administration Core for ensuring IRB compliance. We will achieve the mission of our Data Integration and Computation Core through three specific aims. In Aim 1 we collect and process and store data across all CSBC sites. In Aim 2 we provide and integrate reproducible bioinformatics workflows. And in Aim 3 we provide computational modeling tools and techniques. The Data Integration Core will provide support for both projects. • Project 1: Targeting Glioma Tissue States will utilize the image-localized biopsy locations. They will further utilize the stored molecular data accessed through this core making use of the provided bioinformatics. • Project 2: Imaging the Dynamic Tissue State in Patients In Vivo will utilize the stored molecular and imaging data along with all segmentations and generated image features. Project 2 will also make extensive use of the mechanistic modeling and calibration support along with the bioinformatics support.