A New Web 2.0 Platform for Analyzing Genomics Data with Application to the Study

描述（由申请人提供）：为了深入了解癌症的分子基础，以确定新的治疗方法为目标，一个主要的研究重点是癌细胞的系统分析。这包括生成化合物效价数据和基因/蛋白质表达数据。这导致了大量不同数据的产生，这些数据必须以上下文敏感的方式相关联，并共同挖掘数据，以达到寻找新治疗方法的目标。该项目的目的是开发一个新的计算平台，使世界各地的研究人员能够互动地合作分析这些有价值的信息。将开发一个新的基于网络的平台，该平台将纳入最近和新兴的Web 2.0和企业软件标准和技术。该平台将整合基于癌细胞的公共数据，包括基因组学、蛋白质组学和细胞毒性效力数据。它将通过交互式数据分析和可视化工具对数据进行系统的探索，以便提出假设。拟议的项目将包括开发新的统计方法，以确定选定的基因和化合物高度和显着相关的细胞群。该平台将用于识别癌症化疗的候选靶基因和药物，并确定导致化疗耐药性和敏感性的因素。 公共卫生相关性：癌症是世界各地死亡的主要原因。许多类型的癌症缺乏有效的治疗方法，新的治疗方法有可能对大量患者群体产生积极影响。该项目将建立一个新的数据分析和可视化平台，以帮助识别预测药物疗效的生物标志物，从而优化癌症化疗。

DESCRIPTION (provided by applicant): A major research focus for gaining insight into the molecular basis for cancer, with the goal of identifying new treatments, is the systematic profiling of cancer cells. This includes the generation of compound potency data and gene/protein expression data. This has led to the generation of massive amounts of disparate data that must be associated in context sensitive ways and collectively data mined in order to reach the goal of finding new treatments. The aim of this project is to develop a new computing platform that will enable researchers throughout the world to interactively collaborate on the analysis of this valuable information. A new web-based platform will be developed that, incorporates recent and emerging Web 2.0 and Enterprise software standards and technologies. This platform will incorporate public cancer cell-based data, including genomics, proteomics, and cytotoxic potency data. It will make possible the systematic exploration of the data through interactive data analysis and visualization tools in order to generate hypotheses. The proposed project will include the development of new statistical methods to identify groups of cells over which selected genes and compounds are highly and significantly correlated. The platform will be used to identify candidate target genes and drugs for cancer chemotherapy, and to determine factors that contribute to chemoresistance and sensitivity. PUBLIC HEALTH RELEVANCE: Cancer is a major cause of mortality throughout the world. Many types of cancers lack effective treatments, and new treatment approaches have the potential to positively impact large patient populations. This project will build a new data analysis and visualization platform to aid in identifying biomarkers predictive of drug efficacy for optimizing cancer chemotherapy.