Bioinformatics Core

生物信息学核心

• 批准号: 10650314
• 负责人: Gregory James Dick
• 金额: $ 18.62万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10650314
• 关键词: Address; Allogenic; Bile Acids; Bioinformatics; Butyrates; Cells; Cellular Metabolic Process; Clinical Research; Clinical Trials; Communication; Complex; DNA; DNA Sequence; DNA sequencing; Data; Data Analyses; Data Set; Databases; Development; Diet; Dietary Intervention; Dimensions; Emerging Technologies; Ensure; Fostering; Genomics; Goals; Health; Hematological Disease; Hematopoietic Stem Cell Transplantation; Human; Immune; Immune response; Individual; Laboratories; Life; Link; Maintenance; Metabolism; Metadata; Methods; MicroRNAs; Mitochondrial DNA; Modeling; Mus; Nature; Nuclear; Oral Administration; Outcome; Patients; Plasma; Postdoctoral Fellow; Potato; RNA; Research; Research Personnel; Research Project Grants; Research Support; Resistance; Science; Scientist; Severities; Shapes; Shotguns; Source; Starch; Statistical Data Interpretation; Students; Training; Volatile Fatty Acids; Work; analysis pipeline; bioinformatics pipeline; bioinformatics tool; data streams; disorder prevention; diverse data; experimental study; flexibility; gastrointestinal; genome sequencing; graft vs host disease; heterogenous data; intestinal epithelium; metabolome; metabolomics; microbial; microbiome; microbiome composition; mouse model; rRNA Genes; student training; tool; transcriptome sequencing; transcriptomics; user-friendly

PROJECT SUMMARY/ABSTRACT – CORE D The purpose of the Bioinformatics Core is to support the research projects in the analysis, management, and synthesis of large scale and heterogeneous datasets. Data will come from a variety of sources including microbiome amplicon and genome sequencing, plasma RNAseq, metabolomics, and from individuals of mice and patients in clinical trials. By centralizing the development, maintenance, and implementation of bioinformatics tools, and providing an efficient framework for synthesizing data, this core will provide state-of-the-art bioinformatics capabilities that are responsive and tailored to user’s needs and ensure data compatibility and comparability within and across projects. The Bioinformatics Core has the following specific aims, each involving direct interactions with the research projects and other cores: (1) Develop, maintain, and implement bioinformatic pipelines for analysis of genomic and transcriptomic data from microbiomes and their hosts. This aim is crucial for supporting the research project aims that are focused on understanding how changes in the microbiome composition and metabolism are linked to metabolites, immune responses, and health outcomes. Bioinformatics Core staff and students will work directly with students, postdocs, and staff from each of the research projects (see Aim 2) to understand their scientific goals and develop bioinformatics solutions. (2) Train scientists in bioinformatics and foster communication between scientists and bioinformaticians. Bioinformatics staff and students will train students, postdocs, and staff from each of the research projects in both the conceptual understanding the technical implementation of the various tools. (3) Synthesize the diverse data streams with a database that is flexible for adaptation and enables user-friendly data queries and modeling to address research questions and aims of the projects. This specific aim addresses the challenge of analyzing and synthesizing enormous quantities of data that is highly complex and inter- connected, diverse in form, and multi-dimensional. This database will enable researchers to efficiently interrogate the data and export it into various formats for downstream purposes. The Bioinformatics Core will be directed by Dr. Gregory Dick.

项目摘要/摘要 - 核心D 生物信息学核心的目的是支持分析，管理， 以及大规模和异质数据集的合成。数据将来自各种来源 包括微生物组扩增子和基因组测序，血浆RNASEQ，代谢组学以及来自 小鼠和患者的临床试验中的患者。通过集中开发，维护和 实施生物信息学工具，并提供了合成数据的有效框架， 核心将提供最先进的生物信息学能力，这些功能响应且对用户的量身定制 需要并确保项目内部和整个项目内部的兼容性和兼容性。生物信息学 核心具有以下特定目标，每个目标都涉及与研究项目的直接互动 其他核心：（1）开发，维护和实施生物信息学管道，以分析基因组和 来自微生物组及其宿主的转录组数据。这个目标对于支持研究至关重要 项目旨在了解微生物组组成的变化和 代谢与代谢物，免疫新闻和健康结果有关。生物信息学核心人员 学生将直接与每个研究项目的学生，博士后和工作人员合作（请参阅 目标2）了解他们的科学目标并开发生物信息学解决方案。 （2）培训科学家 科学家与生物信息学家之间的生物信息学和促进交流。生物信息学人员 学生将培训来自每个研究项目的学生，博士后和工作人员 概念理解各种工具的技术实施。 （3）合成潜水员 数据流具有具有适应性灵活的数据库，并启用用户友好的数据查询和 建模以解决项目的研究问题和目标。这个具体目的解决了 分析和合成大量数据的挑战，这些数据高度复杂且相互间 连接，形式多样，多维。该数据库将使研究人员有效 询问数据并将其导出到各种格式中，以进行下游目的。生物信息学核心 将由Gregory Dick博士执导。