Core B

生物信息学核心负责提供高质量的基因组和表观基因组数据分析 本计划中概述的四个研究项目，用于开发跨项目数据共享的基础设施，以及 以确定与胶质瘤的发生和发展有关的重要生物学过程 髓母细胞瘤通过整合跨项目基因组数据集，并用于比较来自该计划的数据 与其他大型基因组项目产生的大量数据资源一起资助的项目，包括 圣裘德/华盛顿大学儿科癌症基因组计划(PCGP)，DNA百科全书 元素(ENCODE)和癌症基因组图谱项目(TCGA)。核心B可以访问最先进的 圣裘德高性能计算设施(HPCF)的计算基础设施以及分析 在新闻部建立的工具、计算管道和数据管理基础设施 计算生物学。核心B将负责分析计划项目产生的数据 包括外显子组测序、RNA-Seq、全基因组亚硫酸盐测序(WGBS)、ChIP-Seq、 转座酶可及染色质测序(ATAC-Seq)和甲基化阵列。我们将应用 计算部开发的最先进的公共方法以及新方法 生物学或生物统计系。我们还将为所有项目提供生物统计学专业知识。

The Bioinformatics Core is responsible for providing high-quality genomic and epigenomic data analysis for the four research projects outlined in this Program, for developing infrastructure for cross-project data sharing, and for identifying important biological processes involved in the initiation and progression of glioma and medulloblastoma by integrating cross-project genomic data sets, and for comparing data from the Program Project Grant with the extensive data resource generated by the other large-scale genomic projects including St. Jude/Washington University Pediatric Cancer Genome Project (PCGP), The Encyclopedia of DNA Elements (ENCODE) and The Cancer Genome Atlas Project (TCGA). Core B has access to state of art computing infrastructure at the St. Jude High Performance Computing Facility (HPCF) as well as analytical tools, computational pipeline and data management infrastructure established at the Department of Computational Biology. Core B will be responsible for analyzing data generated from the Program Project including exome sequencing, RNA-Seq, whole-genome bisulfite sequencing (WGBS), ChIP-Seq, Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq) and methylation array. We will apply the most advanced public methods as well as novel methods developed by the Department of Computational Biology or the Biostatistics Department. We will also provide biostatistical expertise for all projects.