Bioinformatics and Biostatistics Data Analysis Core

摘要 生物统计和计算基因组学核心将在统计和 测序数据的计算分析，生物标记物的开发和验证，临床前 研究设计和分析，以满足孢子研究项目的需要，并与 其他核心和机构资源，以实现《公约》的科学和翻译目的 孢子。这个孢子的研究项目需要广泛的统计和 生物信息学专业知识，包括全基因组分析和可视化工具 测序和单细胞测序数据。核心将提供一支专门的团队 具有丰富经验和良好发展创新统计记录的人员 和计算方法。我们将维护和扩展现有的工具和管道，以帮助 孢子研究项目的设计和分析，并为 数据收集、处理、质量评估和标准化程序，以促进数据 集成及下游分析和可视化。重要的是，核心将致力于 在开发创新的计算工具方面做出了重大努力，旨在检测、量化和 追踪肿瘤中特定DNA修复缺陷和/或遗传不稳定性的基因组特征 散装和单细胞水平。此外，核心将与目前的基础设施协同工作 在纪念斯隆·凯特琳癌症中心提供，为孢子调查人员提供 不仅使用最先进的计算生物学方法，而且还使用新的计算方法 解决与孢子研究成功密切相关的具体分析挑战的工具 项目。

ABSTRACT The Biostatistics and Computational Genomics Core will provide support in statistical and computational analysis of sequencing data, biomarker development and validation, pre-clinical study design and analysis to meet the needs of the SPORE Research Projects and interact with other Cores and institutional resources to achieve the scientific and translational purposes of the SPORE. The Research Projects in this SPORE require a broad range of statistical and bioinformatics expertise, including tools for the analysis and visualization of whole genome sequencing and single cell sequencing data. The Core will provide a team of dedicated personnel with extensive experience and strong track record of developing innovative statistical and computational methods. We will maintain and expand current tools and pipelines to assist the design and analysis of the SPORE research projects, and provide centralized support for data collection, processing, quality assessment, and normalization procedures to facilitate data integration and downstream analysis and visualization. Importantly, the core will devote significant effort in developing innovative computational tools that aim to detect, quantify, and track genomic signatures of specific DNA repair defects and/or genetic instability at the tumor bulk and single cell levels. In addition, the Core will synergize with the current infrastructure available at Memorial Sloan Kettering Cancer Center to provide the SPORE investigators not only with the state-of-the-art computational biology methods, but also with novel computational tools to address specific analytical challenges germane to the success of the SPORE Research Projects.