Core C: Bioinformatics and Genomics Core

项目概要/摘要-核心C 生物信息学由于其高通量的特性，已经成为生物学研究中不可或缺的一部分 多组学实验需要基础设施和训练有素的人员， 支持研究项目的科学进步。生物信息学与基因组学 核心（核心C）将继续作为该计划项目整体成功的关键， 支持实验数据的生成、存储、处理、分析和访问。核心 C将由Babu Guda博士和James Eudy博士领导，他们将在以下方面提供补充专业知识： 生物信息学和基因组学领域，分别。该核心是创新的，它具有完全集成的 生物信息学以及基因组学单位内，这使得全频谱访问尖端 实验和分析技术在一个核心下。具体目标是：目标1：支持 为研究项目测序和分析多组学数据。目标2：综合分析和 重要基因、基因产物、富集途径和上游的功能表征 用于假设生成和检验的调节器。目标3：开发一个门户网站， 这将有助于收集所有研究项目的多组学数据，并促进生物信息学培训活动。核心C将 通过提供资源、人员支持和 为所有研究项目开发尖端技术和定制数据分析方法。 拟议的基于云的门户网站由一个可搜索的数据库支持， 实验数据、元数据和培训材料促进了 多个地点的项目人员。

Project Summary/Abstract – Core C Bioinformatics has become an integral part of biological research due to the high-throughput nature of multi-omics experiments warranting the need for having the infrastructure and trained personnel to support the advancement of science of the research projects. The Bioinformatics and Genomics Core (Core C) will continue to serve as a linchpin in the overall success of the program project by supporting the generation, storage, processing, analysis and accessing of experimental data. Core C will be led by Drs. Babu Guda and James Eudy, who will provide complementary expertise in Bioinformatics and Genomics areas, respectively. This Core is innovative by having a fully integrated Bioinformatics as well as Genomics units within, which allows full spectrum access to cutting-edge experimental and analytical techniques under one Core. The specific aims are: Aim 1: Support the sequencing and analysis of multi-omics data for research projects. Aim 2: Integrative analysis and functional characterization of significant genes, gene products, enriched pathways, and upstream regulators for hypothesis generation and testing. Aim 3: Develop a web portal to centralize access to multi-omics data from all research projects and to facilitate bioinformatics training activities. Core C will make a big impact on the overall success of the project by providing resources, personnel support and developing cutting-edge technologies and custom data analysis methods for all research projects. Proposed cloud-based web portal backed by a searchable database provides easy access to all experimental data, metadata, and the training materials facilitating synergistic interactions among the project personnel across multiple sites.