MSKCC Center for Translational Cancer Genomic Analysis

MSKCC 转化癌症基因组分析中心

• 批准号: 8543653
• 负责人: Marc Ladanyi
• 金额: $ 278.24万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-28 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8543653
• 关键词: Algorithms; Area; Basic Science; Biological Markers; Cancer Biology; Clinical; Clinical Oncology; Communities; Comprehensive Cancer Center; Computational Biology; Data; Data Analyses; Diagnosis; Disease; Genome; Genomics; Internet; Malignant Neoplasms; Memorial Sloan-Kettering Cancer Center; Methods; Molecular; Molecular Profiling; Pathway Analysis; Pathway interactions; Phase; Process; Protocols documentation; Software Tools; The Cancer Genome Atlas; Therapeutic; Translational Research; Translations; Tumor Subtype; Work; base; cancer Biomedical Informatics Grid; cancer genome; cancer genomics; cancer therapy; cancer type; clinical application; genome sequencing; improved; insight; interoperability; meetings; method development; novel; prevent; programs; software development; working group

DESCRIPTION (provided by applicant): The MSKCC Center for Translational Cancer Genomic Analysis, a Genome Data Analysis Center type B (GDAC-B), aims to develop novel integrative analysis methods for studying cancer genomic data, thereby enabling the translation of genomic insights into new clinical applications. The planned novel translational genomics analyses are presented in four specific aims organized around four themes: Subtype discovery. Pathway analysis, Therapy nomination, and Software development. These methods will be critical to helping the Cancer Genome Atlas (TCGA) project meet its stated objective of accelerating our understanding of the molecular basis of cancer, and improving our ability to diagnose, treat, and prevent cancer. The analysis work and method development will be closely coordinated with the GDACs working group (GDAC-WG), software tools will be fully integrated with the TCGA analytic pipelines and results of analyses will be made freely available to the scientific community via TCGA internet portals, with well-established plans for caBIG interoperability. The work of this GDAC-B will build on the flow of data from Genome Characterization Centers and Genome Sequencing Centers, as integrated by the GDAC-A data analysis centers. The applicant group of the MSKCC Center for Translational Cancer Genomic Analysis has a strong track record in large scale collaborative cancer genomics within the TCGA pilot phase and other consortia, and benefits from a computational biology program that is uniquely embedded in a comprehensive cancer center with a major focus on basic and translational research.

描述（由申请人提供）：MSKCC转化癌症基因组分析中心是一个基因组数据分析中心B型（GDAC-B），旨在开发用于研究癌症基因组数据的新型综合分析方法，从而将基因组学见解转化为新的临床应用。计划中的新型翻译基因组学分析围绕四个主题提出了四个具体目标：亚型发现。路径分析、治疗提名和软件开发。这些方法对于帮助癌症基因组图谱（TCGA）项目实现其既定目标至关重要，即加速我们对癌症分子基础的理解，提高我们诊断，治疗和预防癌症的能力。分析工作和方法开发将与GDAC工作组（GDAC-WG）密切协调，软件工具将与TCGA分析管道完全集成，分析结果将通过TCGA互联网门户网站免费提供给科学界，并为caBIG互操作性制定了完善的计划。GDAC-B的工作将建立在基因组表征中心和基因组测序中心的数据流基础上，并由GDAC-A数据分析中心整合。MSKCC转化癌症基因组分析中心的申请人小组在TCGA试点阶段和其他财团内的大规模合作癌症基因组学方面有着良好的记录，并受益于计算生物学计划，该计划独特地嵌入在一个综合性癌症中心，主要关注基础和转化研究。