Integrated Neuroinformatics Resource for Alcoholism (IN*

酒精中毒综合神经信息学资源 (IN*

• 批准号: 6795323
• 负责人: LAWRENCE E HUNTER
• 金额: $ 75.41万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-27 至 2006-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6795323
• 关键词: alcoholic beverage consumption; alcoholism /alcohol abuse information system; bioinformatics; biomedical facility; computer data analysis; computer program /software; computer system design /evaluation; cooperative study; data collection methodology /evaluation; electrophysiology; neuroanatomy; neurochemistry; neurophysiology; neuroregulation; neurosciences

DESCRIPTION (provided by applicant): The aim of this proposal is to establish an Integrated Neuroinformatics Resource on Alcoholism (INRA) as the informatics core component of the Integrative Neuroscience Initiative on Alcoholism Consortium (INIA). The overall goal of the INRA will be to create an integrated, multiresolution repository of neuroscience data, ranging from molecules to behavior for collaborative research on alcoholism. As the neuroinformatics core of the INIAC, the INRA will enable the integration of all data generated by all components of the INIAC. Furthermore, it will support synthesis of new knowledge through computational neurobiology tools for exploratory analysis including visualization, data mining and simulation. The INRA will represent a synthesis of emerging approaches in bioinformatics and existing methods of neuroinformatics to provide the INIAC a versatile toolbox of computational methods for elucidating the effects of alcohol on the nervous system. The specific aims of the INRA will be: (i) implementation of an informatics infrastructure for integrating complex neuroscience data, from molecules to behavior, generated by the consortium and relevant data available in the public domain; (ii) development of an integrated secure web-based environment so that consortium members can interactively visualize, search and update the integrated neuroscience knowledge; and (iii) development of data mining tools, including biomolecular sequence analysis, gene expression array analysis, characterization of Biochemical pathways, and natural language processing to support hypothesis generation and testing regarding ethanol Consumption and neuroadaptation to alcohol. We will also collaborate with related neuroscience projects to utilize existing resources for brain atlases, neuronal circuits and neuronal properties. The INRA will The made available to the INIAC through a Neb-based system through interactive graphical user interfaces that will seamlessly integrate tools for data entry, modification, search, retrieval and mining. The core of the INRA will be based on robust knowledge management methods and tools that will Effectively integrate disparate forms of neuroscience data and make it amenable to complex inferences. Our proposed strategy ensures that the informatics resource is: (i) flexible and scalable to address the evolving needs of the INIAC, and (ii) highly intuitive and user-friendly to ensure optimal utilization by the INIAC members. The proposed INRA is a novel system for Collaborative research in neuroscience and alcoholism which will be developed by an interdisciplinary team of experts in Bioinformatics, computational biology, neuroscience and alcoholism research. We believe the INRA will greatly enhance the Dace of discovery in the area of ethanol consumption and neuroadaptation to alcohol within the INIAC as well as the general research community.

描述（由申请人提供）： 该建议的目的是建立一个综合的神经信息学 酒精中毒资源（INRA）作为信息学的核心组成部分 酒精中毒财团（INIA）的综合神经科学倡议。这 INRA的总体目标将是创建一个集成的多个解决方案 神经科学数据的存储库，从分子到行为的范围 关于酒精中毒的合作研究。作为神经信息学的核心 INIAC，INRA将使所有数据的集成 内脏的组成部分。此外，它将支持新的合成 通过计算神经生物学工具的知识用于探索性分析 包括可视化，数据挖掘和仿真。 INRA将代表 生物信息学和现有方法中新兴方法的合成 神经信息学为计算的多功能工具箱提供 阐明酒精对神经系统的影响的方法。这 INRA的具体目标将是：（i）实施信息学 整合复杂神经科学数据的基础架构，从分子到 由财团和相关数据生成的行为 公共领域； （ii）开发集成的基于网络的环境 因此，财团成员可以交互可视化，搜索和更新 综合神经科学知识； （iii）开发数据挖掘工具， 包括生物分子序列分析，基因表达阵列分析， 生化途径和自然语言处理的表征 支持有关乙醇消耗的假设产生和测试 神经适应酒精。我们还将与相关的神经科学合作 将现有资源用于脑图，神经元电路的项目 和神经元特性。 INRA将通过 通过交互式图形用户界面的基于NEB的系统 无缝整合用于数据输入，修改，搜索，检索和的工具 矿业。 INRA的核心将基于强大的知识管理 将有效整合不同形式的方法和工具 神经科学数据，并使其适合复杂的推论。我们提出的 策略确保信息学资源是：（i）灵活且可扩展的 满足INIAC的不断发展的需求，以及（ii）高度直观和 用户友好型，以确保INIAC成员的最佳利用。提议 INRA是一种新型的神经科学协作研究的系统 酒精中毒将由跨学科的专家团队开发 生物信息学，计算生物学，神经科学和酒精中毒研究。 我们认为，INRA将大大增强该领域的发现的斗争 乙醇的消耗和神经适应于内液和酒精 一般研究界。