cBio Analytical Portal for OCGs TARGET and CGCI Molecular Characterization Projects

cBio基于网络的门户网站大大降低了复杂基因组数据与癌症研究人员之间的障碍，这些研究人员希望快速，直观和高质量地访问大规模癌症基因组学项目的分子谱和临床属性。拟议的工作建立在由NCI支持的cBio癌症基因组学门户基础设施上，以使所有研究人员能够进行发现和测试假设。NCI已经投资开发了一个cBio门户网站，用于从5个“初始”目标项目中生成的数据。该合同将通过额外的数据类型、额外的目标项目以及纳入第二个OCG倡议CGCI来扩大cBio的数据范围。 1.国家癌症研究所通过Leidos项目支持了针对目标的cBio的开发，该提案将扩大可用于最近启动的目标和CGCI项目的数据（项目以及数据类型）。这将是对研究所投资的一种非常具有成本效益的使用，将促进许多其他研究人员的工作 2.复杂数据类型的集成是困难的，因此大多数R01研究人员不得不依赖他人来帮助他们挖掘大型基因组数据集。cBio分析方法的用户发现它们非常直观，因此非常有用 3. TARGET和CGCI计划没有替代的系统方法来整合各种数据类型，以挖掘系统生物学趋势和结果，这些趋势和结果可以应用于所有正在表征的肿瘤。因此，cBio将是一个非常需要的工具。

The cBio web-based portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects. The proposed work is built on the cBio Cancer Genomics Portal infrastructure supported by NCI for TCGA to enable all researchers to make discoveries and test hypotheses. The NCI already invested into development of a cBio portal for the data generated from 5 “initial” TARGET projects. This contract will expand the scope of data at cBio by additional data types, additional TARGET projects as well as inclusion of a 2nd OCG initiative CGCI. 1. NCI supported the development of cBio for TARGET through a Leidos subcontract and this proposal will expand the data (projects as well as data types) that will be available for TARGET and CGCI projects which were recently initiated. It will be a very cost-effective use of the Institute’s investment that will facilitate the work of many other researchers 2. Integration of complex data types is difficult and so most R01 investigators have to rely on others to help them mine large genomic data sets. The users of cBio analytical methods find them very intuitive and thereby useful 3. The TARGET and CGCI initiatives do not have an alternative systematic approach to integrate the various data types to mine it for systems biology trends and results which can be applied to all the tumors being characterized. Therefore cBio will be a much needed tool.