Core D: Computational Genomics Core

计算基因组学核心的总体目标是使用最先进的数学和 需要计算方法来更好地理解损伤所呈现的复杂系统生物学 和严重的疾病。此外，基于我们在计算生物学方面的发展和经验， 炎症和宿主对损伤的反应胶水赠款，核心还旨在解决几个 当前损伤转化研究中的计算挑战。核心的主要功能是：（1） 通过计算分析研究适应性和适应不良的基因组机制 在研究项目的研究中对热损伤的生理反应，（la）开发计算 使用新的外显子连接阵列检测动物基因表达和可变剪接的工具 模型（小鼠和恒河猴）;（1b）分析激活和/或抑制 在动物模型中对胰岛素抵抗和线粒体功能障碍重要的基因;和（1c）比较 动物模型与烧伤患者之间以及LPS与烧伤之间的基因组变化。 我们在这个项目中的目标是使用计算分析来全面地识别和分类 这些炎症源之间以及患者和模型系统之间的相似性和差异。 (2)整合中心的基因组、蛋白质活性和代谢数据，以合理确定 候选基因进行干预。(2a)建立疾病特异性分子生物学知识库 通过整合中心项目的发现， 从文献中系统收集的信息以及烧伤的人类转录组数据 （2b）进行计算分析，以确定关键基因调节因子作为干预的候选者 问题研究(3)建立数据和知识库的网络门户，作为社区的中央资源。数据 储存数据，并通过网络与研究界分享数据和结果。 重要的是，成功的成就将通过密切合作的多学科小组的努力来实现。 生物信息学家和统计学家以及该中心的其他研究人员之间的合作。

The overall objective of the Computational Genomics Core is to use the state-of-the-art mathematical and computational approaches needed to better understand the complex systems biology presented by injury and critical illness. In addition, built on our developments and experiences in computational biology in the Inflammation and the Host Response to Injury Glue Grant, the Core is also designed to tackle several current computational challenges in translational research of injury. The major functions of the core are: (1) Investigate via computational analyses the genomic mechanism of the adaptive and maladaptive physiological responses to thermo injury in studies of the Research Projects, (la) Develop computational tools for using new exon-junction arrays in detection of gene expression and alternative splicing in animal models (mouse and Rhesus monkeys); (1b) Analyze the genomic effect of activation and/or inhibition of genes important to insulin resistance and mitochondrial dysfunction in animal models; and (1c) Compare cross species the genomic changes between animal models and burn patients, and between LPS and burns. Our goal in this program is using computational analysis to comprehensively identify and catalog the similarities and differences between these inflammatory sources and between patients and model systems. (2) Integrate the genomic, protein activity and metabolic data of the Center for rational target identification of gene candidates for intervention. (2a) Establish a disease specific knowledge-base of molecular derangements in skeletal muscle following thermal injury by integrating findings of the Center Projects with the information systematically harvested from the literature as well as the human transcriptome data of burn patients; (2b) Conduct computational analysis to identify key gene regulators as candidates for intervention studies. (3) Establish web-based portal of the data and knowledgebase as central community resource. Data warehousing and providing web-accessible sharing of the data and results with the research community. Importantly, the successful accomplishments will be achieved by the multidisciplinary group effort of close collaborations between bioinformaticians and statisticians, and the other investigators in the Center.