Joint Bioinformatics and Computational Core of the MARC

联合生物信息学与计算核心摘要 联合生物信息学和计算核心(JBC)将提供独特的计算工具和分析 这使得能够整合与关节炎和微环境相关的复杂的多维数据集。 大多数学术机构提供“组学数据”的标准分析援助，如RNA-seq。然而， 未来的研究将需要更多的计算能力来结合许多数据类型，包括基因组学， 表观基因组学、影像和临床信息。核心拥有独特的专业知识，利用生物 联合董事的洞察力和计算技能，以提供对疾病发病机制的见解。这将是 通过以下方式实现：1)提供咨询和设计协助，以便调查人员能够产生高 质量和可解释的数据；2)使用UCSD开发的算法和计算方法 来自不同技术的多维数据集；以及3)使用系统生物学来提供更深层次的 通过发育的基因组网络了解疾病的发病机制。这些服务将允许 MARC调查人员通过无偏见的数据分析和识别来最大化他们的研究价值 生物验证的非明显目标。

JOINT BIOINFORMATICS AND COMPUTATIONAL CORE ABSTRACT The Joint Bioinformatics and Computational Core (JBC) will provide unique computational tools and analysis that enables integration of complex multi-dimensional datasets related to arthritis and the microenvironment. Most academic institutions provide standard analytic assistance with `omics data, such as RNA-seq. However, future studies will require much more computational power to combine many data types, including genomics, epigenomics, imaging and clinical information. The Core has unique expertise that leverages the biologic insights and the computational skills of the co-directors to provide insights into disease pathogenesis. This will be accomplished by 1) providing consultation and design assistance so that investigators can generate high quality and interpretable data; 2) using UCSD-developed algorithms and computational methods that integrate multi-dimensional datasets derived from diverse technologies; and 3) using systems biology to provide deeper understanding of disease pathogenesis through the development genomic networks. The services will allow MARC investigators to maximize the value of their research through unbiased data analysis and identification of non-obvious targets for biologic validation.