Data Analytic Services Core

摘要-数据分析服务核心（DASC） 密歇根大学奥布莱恩肾脏转化资源中心（MKTC）的主要目标是 提供有效的转化研究管道，为患者开发新的机械治疗策略 肾脏疾病肾脏研究人员不断需要从肾脏中挖掘和提取相关知识， 多标量数据集需要一个新的数据分析服务核心（DASC）。DASC将支持 研究人员通过收集来自临床队列研究和试验的大规模数据集，从模型 来自肾脏研究界的系统研究。DASC的主要目标是增强 调查人员独立挖掘多尺度数据集，特别是： (a)了解人类疾病和模型中的肾脏发育和损伤的整体分子水平; (b)定义诊断和进展的分子和临床标志物; (c)确定治疗性攻击的关键途径; (d)确定重点临床试验的患者人群; (e)对链接分子和表型数据的多尺度数据进行纵向分析; (f)识别存在疾病或疾病进展风险的受试者;以及 (g)将特定队列与背景卫生系统数据联系起来，以进行风险因素评估和预测 建模，以及在特定队列研究中未招募/抽样的人群中进行结果分析。 由DASC托管的数据集将涵盖从临床前肾脏 疾病模型系统的研究，以人类队列数据集得出。此数据将加载到DASC托管的 数据挖掘和共享平台，这些平台已经开发出来，可以集成多尺度数据集， 由研究基地的调查人员挖掘、分析和共享。数据挖掘和分析接口， 已经专门开发了所关注询问遗传、分子、组织学或临床特征 肾脏研究者的需求。DASC将继续这一发展轨迹，同时使 由MKTC研究社区使用。核心将提供一套独立和免费的平台， 服务于研究用户角色的不同需求的方法，我们已经在我们的区域，国家和 全球肾脏研究社区。

ABSTRACT - DATA ANALYTIC SERVICES CORE (DASC) The main goal of the University of Michigan O'Brien Kidney Translational Resource Center (MKTC) is to provide an effective translational research pipeline to develop novel, mechanistic treatment strategies for patients with kidney diseases. The continuing need of kidney researchers to mine and extract pertinent knowledge from multi-scalar data sets has necessitated a new Data Analytic Services Core (DASC). DASC will support the investigators by assembling large-scale data sets derived from the clinical cohort studies and trials, from model system studies from the renal research community at large. The key objectives of the DASC will be to empower investigators to independently mine multi-scale data sets, specifically to: (a) Understand kidney development and injury in global molecular terms in human disease and models; (b) Define molecular and clinical markers of diagnosis and progression; (c) Identify critical pathways for therapeutic attack; (d) Identify patient populations for focused clinical trials; (e) Perform longitudinal analysis of multi-scale data linking molecular and phenotypic data; (f) Identify subjects at risk of disease or disease progression; and (g) Link specific cohorts with background health systems data to permit risk factor evaluation, prediction modeling, and outcomes analyses among those not recruited/sampled in specific cohort studies. The data set(s) hosted by the DASC will span the full translational research pipeline from preclinical kidney disease model system studies to the human cohort data sets derived. This data will be loaded into DASC-hosted data mining and sharing platforms which have been developed to enable integration of multi-scale data sets to be mined, analyzed, and shared by research base investigators. The data mining and analytic interfaces to interrogate genetic, molecular, histological, or clinical features of interest have been specifically developed towards the needs of the renal researcher. The DASC will continue this development trajectory while enabling use by the MKTC research community. The core will provide a suite of independent and complimentary platform approaches serving distinct needs of the research user personas we have defined in our reginal, national and global kidney research community.