Bacterial Microarray Group, Centre for Infection & Immunity, Division of Clinical Sciences, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK.
Nucleic Acids Res. 2012 Jan;40(Database issue):D605-9. doi: 10.1093/nar/gkr796. Epub 2011 Sep 24.
The reducing cost of high-throughput functional genomic technologies is creating a deluge of high volume, complex data, placing the burden on bioinformatics resources and tool development. The Bacterial Microarray Group at St George's (BμG@S) has been at the forefront of bacterial microarray design and analysis for over a decade and while serving as a hub of a global network of microbial research groups has developed BμG@Sbase, a microbial gene expression and comparative genomic database. BμG@Sbase (http://bugs.sgul.ac.uk/bugsbase/) is a web-browsable, expertly curated, MIAME-compliant database that stores comprehensive experimental annotation and multiple raw and analysed data formats. Consistent annotation is enabled through a structured set of web forms, which guide the user through the process following a set of best practices and controlled vocabulary. The database currently contains 86 expertly curated publicly available data sets (with a further 124 not yet published) and full annotation information for 59 bacterial microarray designs. The data can be browsed and queried using an explorer-like interface; integrating intuitive tree diagrams to present complex experimental details clearly and concisely. Furthermore the modular design of the database will provide a robust platform for integrating other data types beyond microarrays into a more Systems analysis based future.
高通量功能基因组技术成本的降低正在产生大量复杂数据的洪流,这给生物信息学资源和工具的开发带来了负担。圣乔治大学(St George's)的细菌微阵列小组(Bacterial Microarray Group)已经在细菌微阵列设计和分析方面处于领先地位,在作为全球微生物研究小组网络的枢纽的同时,也开发了细菌微阵列组(BμG@S)数据库,这是一个微生物基因表达和比较基因组数据库。BμG@S 数据库(http://bugs.sgul.ac.uk/bugsbase/)是一个可通过网络浏览的、经过精心管理、符合 MIAME 标准的数据库,它存储了全面的实验注释和多种原始和分析数据格式。通过一组结构化的网络表单实现了一致的注释,这些表单引导用户按照一套最佳实践和受控词汇表完成流程。该数据库目前包含 86 个经过精心管理的公开可用数据集(还有 124 个尚未发布),以及 59 个细菌微阵列设计的完整注释信息。可以使用类似浏览器的界面浏览和查询数据;集成直观的树形图,清晰简洁地呈现复杂的实验细节。此外,数据库的模块化设计将为整合微阵列以外的其他数据类型提供一个强大的平台,以实现基于系统分析的未来。