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翻译癌症基因组分析中心是一个B型基因组数据分析中心(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，从而使基因组洞察力能够转化为新的临床应用。计划中的新的翻译基因组学分析以四个具体目标为基础，围绕四个主题组织：亚型发现。途径分析、治疗提名和软件开发。这些方法将是帮助癌症基因组图谱(TCGA)项目实现其既定目标的关键，该目标是加速我们对癌症的分子基础的了解，并提高我们诊断、治疗和预防癌症的能力。分析工作和方法开发将与GDAC工作组密切协调，软件工具将与TCGA分析管道充分结合，分析结果将通过TCGA互联网门户网站免费提供给科学界，并制定良好的caBIG互操作性计划。GDAC-B的工作将建立在由GDAC-A数据分析中心整合的基因组特征中心和基因组测序中心的数据流基础上。MSKCC转化型癌症基因组分析中心的申请者小组在TCGA试点阶段和其他联盟的大规模合作癌症基因组学方面有着良好的记录，并受益于一个独特的嵌入综合癌症中心的计算生物学计划，该计划主要专注于基础和转译研究。