BμG@Sbase--a microbial gene expression and comparative genomic database.
BμG@Sbase--a microbial gene expression and comparative genomic database.
复制标题
DOI：
10.1093/nar/gkr796
复制
发表时间：
2012-01
影响因子：
14.9
通讯作者：
Hinds J
中科院分区：
文献类型：
--
作者：
Witney AA;Waldron DE;Brooks LA;Tyler RH;Withers M;Stoker NG;Wren BW;Butcher PD;Hinds J
高通量功能基因组技术成本的降低正在产生大量复杂的数据，给生物信息学资源和工具开发带来负担。乔治的细菌微阵列小组（BμG@S）十多年来一直处于细菌微阵列设计和分析的最前沿，同时作为全球微生物研究小组网络的中心，开发了微生物基因表达和比较基因组数据库BμG@Sbase。BμG@Sbase（http：//bugs.sgul.ac.uk/bugsbase/）是一个可通过网络浏览的、经过专业策划的、符合MIAME-compliant的数据库，其中存储了全面的实验注释以及多种原始和分析数据格式。一致的注释通过一组结构化的Web表单实现，这些表单遵循一组最佳实践和受控词汇表指导用户完成整个过程。该数据库目前包含86个专业策划的公开数据集（另有124个尚未发表）和59个细菌微阵列设计的完整注释信息。可以使用类似于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，该数据库的模块化设计将提供一个强大的平台，用于将微阵列以外的其他数据类型集成到基于更多系统分析的未来。
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.
登录
查看更多内容
影响因子：
5.8
作者：
Whetzel, PL;Parkinson, H;Stoeckert, CJ
通讯作者：
Stoeckert, CJ
影响因子：
46.9
作者：
Taylor, Chris F.;Field, Dawn;Sansone, Susanna-Assunta;Aerts, Jan;Apweiler, Rolf;Ashburner, Michael;Ball, Catherine A.;Binz, Pierre-Alain;Bogue, Molly;Booth, Tim;Brazma, Alvis;Brinkman, Ryan R.;Clark, Adam Michael;Deutsch, Eric W.;Fiehn, Oliver;Fostel, Jennifer;Ghazal, Peter;Gibson, Frank;Gray, Tanya;Grimes, Graeme;Hancock, John M.;Hardy, Nigel W.;Hermjakob, Henning;Julian, Randall K., Jr.;Kane, Matthew;Kettner, Carsten;Kinsinger, Christopher;Kolker, Eugene;Kuiper, Martin;Le Novere, Nicolas;Leebens-Mack, Jim;Lewis, Suzanna E.;Lord, Phillip;Mallon, Ann-Marie;Marthandan, Nishanth;Masuya, Hiroshi;McNally, Ruth;Mehrle, Alexander;Morrison, Norman;Orchard, Sandra;Quackenbush, John;Reecy, James M.;Robertson, Donald G.;Rocca-Serra, Philippe;Rodriguez, Henry;Rosenfelder, Heiko;Santoyo-Lopez, Javier;Scheuermann, Richard H.;Schober, Daniel;Smith, Barry;Snape, Jason;Stoeckert, Christian J., Jr.;Tipton, Keith;Sterk, Peter;Untergasser, Andreas;Vandesompele, Jo;Wiemann, Stefan
通讯作者：
Wiemann, Stefan
影响因子：
5.8
作者：
Jordan, Gregory E.;Piel, William H.
通讯作者：
Piel, William H.
影响因子：
--
作者：
Witney, AA;Hinds, J
通讯作者：
Hinds, J