Gene Ontology Consortium

基因本体联盟

• 批准号: 7941562
• 负责人: Judith A Blake
• 金额: $ 103.88万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2012-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7941562
• 关键词: Adopted; Adoption; Animal Model; Area; Biological; Biological Process; Classification; Collaborations; Collection; Communities; Comparative Biology; Complex; Data; Databases; Disease; Disease Outcome; EST Library; Ensure; Environment; Experimental Models; Functional RNA; Gene Proteins; Genes; Genome; Genomics; Goals; Health; Human; Information Retrieval; International; Knowledge; Literature; Methodology; Methods; Molecular; Natural Language Processing; Ontology; Organism; Proteins; Proteomics; Public Health; Relative (related person); Research; Research Infrastructure; Research Personnel; Resources; Role; Semantics; Standardization; Structure; System; Technology; Terminology; Translating; Work; base; biological research; comparative; data format; empowered; functional genomics; genetic element; human disease; interest; model organisms databases; repository; tool

DESCRIPTION (provided by applicant): Our objective is to provide the scientific community with a consistent, robust information environment for describing, sharing, integrating and comparing the functional roles of genes, proteins and functional RNAs within and across all organisms. The Gene Ontology (GO) Consortium is an international collaboration of model organism database and genome annotation groups who have joined together to establish standards for describing genomes and gene products and to provide tools and support for the consistent application of these standards for functional annotations that facilitate and enable biological research. The GO provides specific classifications including well-defined, biologically descriptive terms that are organized into specialization and part-of hierarchies for the domains of genome feature, molecular function, biological process and cellular component. The GO classifications are independent of any particular technology, an uncoupling of terminology from technology that encourages application of these semantic standards by organism annotation groups that utilize a wide range of technical environments. The GO has been widely adopted and used for representation of complex biological information for model organism genomes, and is increasingly used for the functional annotation of emerging genomes. With the increased use of the GO, the Consortium must actively work to ensure both the accuracy of the ontologies as well as consistency and quality of annotations so that these resources may be reliably used to draw inferences and make biological predictions. We will do so by focusing on four key aims: 1) We will maintain logically rigorous and biologically precise ontologies; 2) We will ensure comprehensive annotation of reference genomes, including human, using the GO; 3) We will support GO annotation efforts for emerging genomes and for those specialized sets of genes and proteins of particular community interest; and 4) We will provide annotations and tools to the research community thus supporting experimental biologists, genome informaticists, and computational biologists who are using GO annotations in their research particularly in the areas of functional genomics and comparative biology. The relevance of this work for public health is that comprehensive integration and standardization of biomedical and genomics information is an essential component of advancing the understanding of the molecular systems underlying human health and disease outcomes.

描述（由申请人提供）：我们的目标是为科学界提供一个一致的，强大的信息环境，用于描述，共享，整合和比较基因，蛋白质和功能性RNA在所有生物体内和跨所有生物的功能作用。基因本体论（GO）联盟是一个模式生物数据库和基因组注释组的国际合作组织，他们共同建立了描述基因组和基因产物的标准，并为这些标准的一致应用提供工具和支持，以促进和实现生物学研究。GO提供了具体的分类，包括定义明确的生物学描述性术语，这些术语被组织成基因组特征、分子功能、生物学过程和细胞组分领域的专业化和部分层次结构。GO分类独立于任何特定的技术，术语与技术的解耦鼓励利用各种技术环境的生物体注释组应用这些语义标准。GO已被广泛采用并用于表示模式生物基因组的复杂生物信息，并且越来越多地用于新兴基因组的功能注释。随着GO使用的增加，联盟必须积极工作，以确保本体的准确性以及注释的一致性和质量，以便这些资源可以可靠地用于推断和进行生物学预测。我们将通过关注四个关键目标来实现这一目标：1）我们将维护逻辑上严格和生物学上精确的本体; 2）我们将确保使用GO对参考基因组（包括人类）进行全面注释; 3）我们将支持GO对新兴基因组以及特别感兴趣的基因和蛋白质的注释工作;和4）我们将为研究界提供注释和工具，从而支持在研究中使用GO注释的实验生物学家、基因组信息学家和计算生物学家，特别是在功能基因组学和比较生物学领域。这项工作与公共卫生的相关性在于，生物医学和基因组学信息的全面整合和标准化是促进对人类健康和疾病结果背后的分子系统的理解的一个重要组成部分。