Bioinformatic and Biostatistics Core

该核心的目标是提供所需的分析工具以及统计和计算专业知识， 设计和分析高通量的实验和数据所产生的项目和核心， POI。此外，该核心将整合项目产生的数据与外部癌症基因组 例如癌症基因组图谱（TCGA）项目产生的数据，以阐明 耐药机制。 核心3的具体目标是（1）进行人类和小鼠癌症的基因组表征 基因组并整合这些数据以鉴定引起抗性的事件;（2）分析shRNA， 药物反应数据，以确定治疗前和复发细胞的依赖性;（3）整合来自此的数据 P01与癌症基因组图谱（TCGA）项目生成的综合基因组数据， 统计力量 在资助期结束时，综合分析本P01内产生的所有数据和外部数据 将产生一组关于候选基因，途径和药物的明确假设， 可以影响BRAF突变型黑色素瘤耐药性的发展。

The goal of this Core is to provide the analytical tools and statistical and computational expertise needed to design and analyze the high throughput experiments and data generated by the Projects and Cores of this POI. Additionally, this Core will integrate the data resulting from the Project with external cancer genome data such as that generated by The Cancer Genome Atlas (TCGA) project, in order to elucidate the mechanism(s) of drug resistance. The Specific Aims of Core 3 are (1) to perform genomic characterization of human and mouse cancer genomes and integrating these data to identify events that cause resistance; (2) Analyze the shRNA and drug response data to identify dependencies in pre-treatment and relapsed cells; (3) Integrate data from this P01 with comprehensive genomic data generated by The Cancer Genome Atlas (TCGA) project to increase statistical power. At the end of the funded period, integrative analysis of all data produced within this P01 and external data will yield a clear set of hypotheses regarding candidate genes, pathways and drugs that are involved in and can affect the development of drug resistance in BRAF-mutant melanoma.