Computational Core

计算生物学核心(核心C)的广泛目标是通过为计划所需的高通量基因组方法提供计算支持来支持每个计划项目。具体地说，核心将侧重于3个主要支持领域：数据跟踪/管理/分发、高通量测序分析以及基因/模体的功能表征。重要的是，所有项目都将产生大量的基因组规模数据，包括A Paigen项目的重组和双链断裂(DSB)图，B Petkov项目的PRDMS-ChlP-seq和亲和力-seq图，以及C Hibbs和D Handel项目的RNA-seq和H3K4me3-ChlP-seq图。分析这些多种多样的海量数据需要复杂的数据处理和分析技术，而这些技术是个别项目无法提供的。每个项目和整个计划实现我们目标的能力依赖于准确可靠的数据管理和分析，核心将通过实现三个具体目标来提供这些管理和分析：1)核心将利用JAX的实验室信息管理系统(LIMS)管理从鼠标到最终基因组数据点的忠实跟踪信息。2)核心将通过应用尖端分析方法为高通量测序(HTS)数据提供高质量的分析。3)核心将通过为项目负责人提供基因组数据的功能丰富和基序分析，促进对分析结果的生物学解释。所有这些分析都将通过与其他计划核心和JAX的基因表达服务协调及时提供，后者提供支持高通量测序和基因表达研究的设施和专业知识。核心C将在马修·希布斯博士的指导下进行，他拥有计算机科学学士和博士学位，非常有资格指导这些计算任务。

The broad goal of the Computational Biology Core (Core C) is to support each of the Program Projects by providing computational support for the high-throughput genomic methods required by the Program. Specifically, the Core will focus on 3 main areas of support: data tracking/management/distribution, high- throughput sequencing analysis, and functional characterization of genes/motifs. Importantly, all Projects will generate significant amounts of genome-scale data, including the recombination and double stranded break (DSB) maps of Project A Paigen, the PRDMS-ChlP-seq and Affinity-seq of Project B Petkov, and the RNA- seq and H3K4me3-ChlP-seq of Projects C Hibbs and D Handel. The analysis of these diverse and voluminous data requires sophisticated techniques for data processing and analysis that the individual projects cannot provide. The ability of each project and of the overall Program to achieve our goals relies on accurate and reliable data management and analyses, which the Core will provide by accomplishing 3 specific aims: 1) The Core will manage the faithful tracking of information from mouse through final genomic data point by utilizing JAX's Laboratory Information Management System (LIMS). 2) The Core will provide high-quality analysis of high-throughput sequencing (HTS) data by applying cutting-edge analysis methods. 3) The Core will facilitate biological interpretation of analysis results by providing Project Leaders with functional enrichment and motif analyses of their genomic data. All of these analyses will be delivered in a timely manner by coordinating with the other Program Cores and JAX's Gene Expression Service, which provides facilities and expertise in support of high-throughput sequencing and gene expression studies. Core C will be under the direction of Dr. Matthew Hibbs, who holds bachelors and doctoral degrees in Computer Science and is well qualified to direct these computational tasks.