首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics(SCI 2002) v.7: Information Systems Development II; 20020714-20020718; Orlando,FL; US >Efforts to Link Ecological Metadata with Bacterial Gene Sequences at the Sapelo Island Microbial Observatory
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Efforts to Link Ecological Metadata with Bacterial Gene Sequences at the Sapelo Island Microbial Observatory

机译:Sapelo岛微生物天文台将生态元数据与细菌基因序列联系起来的努力

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The existence of public databases for archiving genetic sequence data, such as GenBank and the Ribosomal Database Project, coupled with the availability of standardized sequence alignment and comparison tools has led to rapid advances in the field of bacterial genetics and systematics. Many microbial ecologists now routinely submit gene sequences obtained from environmental isolates, clones, and bands excised from electrophoretic gels to public sequence databases. As the amount of environmental sequence data in these systems has increased, ecologists have begun using sequence databases for broader classes of studies, such as biogeography and community ecology. Unfortunately, the general lack of documentation and data quality control standards has resulted in many sequences being entered without appropriate metadata, effectively orphaning records from their ecological context information and making comparisons impossible. In order to address the shortcomings of public sequence databases, an independent 16S rRNA sequence database was recently developed at the Sapelo Island Microbial Observatory (SIMO) in Georgia, USA. The database was created to store complete information from all SIMO research reflect the actual flow of information from sample collection through final publication. By incorporating key fields from external databases, such as GenBank, the SIMO database is able to serve both as an independent research tool for SIMO scientists and as a reference source for SIMO data stored in other databases.
机译:用于存档遗传序列数据的公共数据库(如GenBank和Ribosomal Database Project)的存在,再加上标准化序列比对和比较工具的可用性,已导致细菌遗传学和系统学领域的快速发展。现在,许多微生物生态学家通常将从环境分离物,克隆和从电泳凝胶上切下的条带中获得的基因序列提交给公共序列数据库。随着这些系统中环境序列数据的增加,生态学家已开始使用序列数据库进行更广泛的研究,例如生物地理学和社区生态学。不幸的是,普遍缺乏文档和数据质量控制标准导致输入了许多序列而没有适当的元数据,从而有效地从其生态环境信息中孤立了记录,并使比较变得不可能。为了解决公共序列数据库的不足,最近在美国乔治亚州的萨佩洛岛微生物观测站(SIMO)开发了一个独立的16S rRNA序列数据库。创建该数据库是为了存储来自SIMO所有研究的完整信息,以反映从样本收集到最终发布的实际信息流。通过合并来自外部数据库(如GenBank)的关键字段,SIMO数据库既可以用作SIMO科学家的独立研究工具,又可以用作存储在其他数据库中的SIMO数据的参考源。

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