Integrative Approach to Comprehensive Analysis of High Throughput Data on a Cancer Center Level

癌症中心层面高通量数据综合分析的综合方法

• 批准号: 9219389
• 负责人: Andrew V Kossenkov
• 金额: $ 13.47万
• 依托单位: WISTAR INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9219389
• 关键词: Apoptosis; Award; Bioinformatics Shared Resource; Cancer Center; Cancer Center Support Grant; Cancer cell line; Cell Proliferation; Colon; Computational Biology; Data; Data Analyses; Data Set; Databases; Embryonic Development; Environment; Genes; Hematopoietic Neoplasms; Institutes; Lung; Malignant Neoplasms; Methods; Neoplasm Metastasis; Ovarian; Patients; Prostate; Research; Research Personnel; Research Project Grants; Resources; Role; Specialist; Staging; The Wistar Institute; cancer cell; cell motility; clinically relevant; high throughput analysis; interest; knowledge base; melanoma; member; programs; research study

The Bioinformatics Shared Resource (BSR), supported by the Cancer Center Support Grant (CCSG) awarded to the Wistar Institute, collaborates with the vast majority of cancer center members on multiple research projects. My role as a Research Specialist and Managing Director of the BSR is to be engaged with all steps of many of those research programs. The institute-wide involvement in cancer-related studies allows me to develop comprehensive data analyses pipelines applicable across multiple programs, as well as to re-use obtained results, including databases, summarized and annotated datasets and other integrative resources, in carrying out analyses customized to particular studies. In combination with project-specific research efforts, which in turn also contribute to the existing knowledgebase, this integrative approach provides a robust scientific environment for applying methods of computational biology to various cancer-related studies as demonstrated in the application.

生物信息学共享资源（BSR）由Wistar研究所获得的癌症中心支持基金（CCSG）支持，与绝大多数癌症中心成员在多个研究项目上进行合作。作为研究专家和BSR常务董事，我的角色是参与其中许多研究项目的所有步骤。在全研究所范围内参与癌症相关研究，使我能够开发适用于多个项目的综合数据分析管道，并重新使用获得的结果，包括数据库、汇总和注释数据集以及其他综合资源，以开展针对特定研究的分析。结合特定项目的研究工作，这反过来也有助于现有的知识库，这种综合方法为应用计算生物学方法到各种癌症相关研究提供了一个强大的科学环境，如应用程序所示。