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: 10683223
• 负责人: Andrew V Kossenkov
• 金额: $ 15.03万
• 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 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10683223
• 关键词: Award; Bioinformatics; Bioinformatics Shared Resource; Cancer Center; Cancer Center Support Grant; Collaborations; Colon; Computational Biology; Computing Methodologies; Data; Data Set; Databases; Diagnosis; Elements; Environment; Experimental Designs; Goals; Hematopoietic Neoplasms; Lung; Malignant Neoplasms; Methods; Ovarian; Prostate; Research; Research Personnel; Research Project Grants; Resources; Role; The Wistar Institute; cancer prevention; data analysis pipeline; high throughput analysis; knowledgebase; melanoma; member; programs

Project Summary Bioinformatics Facility, 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 Scientific Director of the Bioinformatics Facility is to be engaged on 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 result elements, including databases, summarized and annotated datasets and other integrative resources, in analyses customized to particular studies. In combination with project-specific research efforts, which in turn contribute to the existing knowledgebase, the integrative approach provides a robust scientific environment for applying methods of computational biology to various cancer-related studies as demonstrated in the application.

项目摘要 生物信息学设施，由授予Wistar研究所的癌症中心支持赠款（CCSG）支持， 在多个研究项目上与癌症中心的绝大多数成员合作。我作为科学家的角色 生物信息学设施主任将参与许多研究项目的所有步骤。的 在癌症相关研究中的广泛参与使我能够开发全面的数据分析 适用于多个程序的管道，以及重用结果元素，包括数据库， 摘要和注释的数据集和其他综合资源， 问题研究结合具体项目的研究工作，这反过来又有助于现有的 知识库，综合方法提供了一个强大的科学环境，应用方法， 计算生物学应用于各种癌症相关研究，如应用中所示。