Softward to facilitate adoption of the Sequence Ontology for genome management

描述（由申请人提供）：基因组注释将联合收割机序列、生物信息学分析结果和人类管理员的知识结合到基因结构模型中。这些注释为研究人类疾病的遗传原因提供了基本资源。尽管基因组注释具有作为此类研究资源的潜力，但已证明其难以使用。造成这种情况的一个主要原因是缺乏描述它们的社区标准，这导致了任意文件格式和数据库模式的激增。为了解决这一问题，基因本体联盟开发了序列本体（SO）。SO的目的是统一基因组注释的描述。许多模式生物数据库，如SGD，WormBase和FlyBase现在已经采用SO，并以SO兼容的格式发布其注释。许多其他的基因组数据库也在尝试跟进，但发现很难做到这一点。他们困难的一个原因是缺乏公共可用的软件来管理和分发符合SO的基因组注释。该提案的目标是进一步开发，改进和巩固现有的软件工具，这将有助于更广泛的基因组学社区使用序列本体作为工具来生产，管理和传播符合SO的基因组注释。我们提出的数据适配器和转换器将有助于将旧的注释数据和软件向前推进;我们基于SO的质量控制管道将确保不同数据库产生的数据确实是可互操作的;我们的导航和数据库搜索工具将帮助人类策展人产生更高质量的符合SO的基因组注释。

DESCRIPTION (provided by applicant): Genome annotations combine sequence, the results of bioinformatics analyses, and the knowledge of human curators into models of gene structure. These annotations provide a basic resource for investigations into the genetic causes of human disease. Despite their potential as a resource for such studies, genome annotations have proven difficult to use. A major reason for this has been the lack of community standards for describing them, which has resulted in the proliferation of arbitrary file formats and database schemas. In order to solve this problem, the Gene Ontology Consortium has developed the Sequence Ontology (SO). The purpose of SO is unify the description of genome annotations. Many model organism databases such as SGD, WormBase and FlyBase have now adopted SO, and release their annotations in SO-compliant formats. Many other genome databases are attempting to follow suite, but are finding it difficult to do so. One reason for their difficulties is the lack of publicly available software for managing and distributing SO- compliant genome annotations. The goal of this proposal is to further develop, improve and consolidate existing software tools that will help the broader genomics community to use the Sequence Ontology as a tool to produce, manage, and disseminate SO-compliant genome annotations. Our proposed data adapters and converters will help bring old annotation data and software forward; our SO-based quality control pipelines will ensure that the data produced by different databases is indeed interoperable; and our navigation and database search tools will help human curators to produce higher quality SO-compliant genome annotations.