Aviport: A Resource for Avian Biology

该资源计划的总体目标是开发AviPort，这是一个为鸟类研究人员和更广泛的生物医学研究社区提供的综合基因组，生物学和计算分析门户网站。自19世纪末现代实验生物学开始以来，鸟类一直是首要的非哺乳动物模式生物。过去十年的技术进步导致了对鸟类生物体的使用增加，以及鸟类物种基因组和生物信息的急剧扩展。由于缺乏鸟类模式生物数据库（MOD），鸟类资源已经被开发出来，并分散在许多平台上。沿着，迫切需要一种机制来统一这些资源，以及用于大规模数据分析的资源和平台。因此，该提案将建立AviPort，为鸟类和更广泛的生物医学研究社区提供综合资源。通过将经典MOD的信息集成功能与最先进的数据管理和实验分析平台相结合，AviPort将成为生物医学研究的独特新资源。本提案的目标将通过以下总体具体目标来实现：1）将现有的几个高价值鸟类基因组和生物资源整合到一个单一的综合资源中，并利用更大的外部资源来提供强大的数据管理和分析能力。2)提供高质量的精选数据，以支持生物医学发现。这将通过改进鸡和其他关键鸟类物种的基因组、开发关键鸟类物种的参考集、标准化命名、提供功能注释以及提供数据管理来实现鸟类数据类型的整合。3)传播数据、结果和培训资源，以确保生物医学研究人员能够有效地将数据转化为发现。

The overall goal of this resource program is to develop AviPort, a comprehensive genomic, biological and computational analysis portal for avian researchers and the broader biomedical research community. Since the beginning of the modern era of experimental biology in the late 1800’s, birds have been the premier non-mammalian model organism. Technological advances over the past decade have led to increased use of avian organisms, and a dramatic expansion of genomic and biological information for avian species. Lacking an avian model organism database (MOD), avian resources have been developed ad hoc and are dispersed across numerous platforms. A mechanism to unify these resources is critically needed, along with resources and platforms for large-scale data analysis. Accordingly, this proposal will establish AviPort, a comprehensive resource for the avian and broader biomedical research communities. By combining the information integration functions of a classic MOD with a state of the art platform for data management and experimental analysis, AviPort will represent a unique new resource for biomedical research. The goals of this proposal will be accomplished through the following overall specific aims: 1) Incorporate several existing high-value avian genomic and biological resources into a single integrated resource, and leverage larger external resources to provide robust data management and analysis capabilities. 2) Provide high quality, curated data to support biomedical discovery. This will be accomplished by improving the genomes of chicken and other key avian species, developing reference sets for key avian species, standardizing nomenclature, providing functional annotation, and providing data curation to enable integration of avian data types. 3) Disseminate data, results and training resources to ensure that biomedical researchers are able to effectively translate data into discoveries.