Computational Core

计算核心

• 批准号: 9120903
• 负责人: Matthew Aaron Hibbs
• 金额: $ 21.57万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9120903
• 关键词: Affinity; Archives; Area; Bioinformatics; Biological; Biology; Computational Biology; Data; Data Analyses; Doctor' s Degree; Gene Expression; Genes; Genetic Recombination; Genomics; Goals; High-Throughput Nucleotide Sequencing; Human Resources; Imagery; Individual; Laboratories; Management Information Systems; Maps; Meiosis; Methods; Molecular; Mus; Pattern; Qualifying; Quality Control; Regulation; Research Personnel; Secure; Sequence Analysis; Services; Techniques; Testing; computer science; computerized data processing; data management; functional genomics; genome-wide; genomic data; programs; transcriptome sequencing

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.

计算生物学核心（核心C）的广泛目标是通过为程序所需的高通量基因组方法提供计算支持来支持每个程序项目。具体而言，核心将重点关注三个主要支持领域：数据跟踪/管理/分布，高吞吐量测序分析以及基因/基序的功能表征。重要的是，所有项目都将产生大量的基因组规模数据，包括Paigen项目A Paigen的重组和双重搁浅（DSB）地图，PRDMS-CHLP-SEQ和Project b Petkov的AFFINITION-SEQ，以及RNA-SEQ和H3K4ME3ME3-CHLP-SEQ Projects c Projects C Hibbs和D Handlel。对这些多样化和大量数据的分析需要各个项目无法提供的数据处理和分析的复杂技术。每个项目和总体计划实现我们目标的能力取决于准确可靠的数据管理和分析，核心将通过实现3个具体目标来提供核心：1）核心将通过利用JAX的实验室信息管理系统（LIMS）来管理鼠标通过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对高通量测序（HTS）数据进行高质量分析。 3）核心将通过为项目负责人提供对其基因组数据的功能富集和基序分析来促进分析结果的生物学解释。所有这些分析将通过与其他程序核心和JAX的基因表达服务进行协调来及时提供，该基因表达服务提供了支持高通量测序和基因表达研究的设施和专业知识。 Core C将在Matthew Hibbs博士的指导下，他拥有计算机科学的学士学位和博士学位，并且有资格指导这些计算任务。