Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata.
Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata.
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DOI：
10.1093/nar/gkm815
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发表时间：
2008-01
影响因子：
14.9
通讯作者：
Gardner TS
中科院分区：
文献类型：
--
作者：
Faith JJ;Driscoll ME;Fusaro VA;Cosgrove EJ;Hayete B;Juhn FS;Schneider SJ;Gardner TS
许多微生物微阵列数据库（M3D）的目的是促进分析和可视化的表达数据汇编从多个实验室。M3D包含超过1000个用于大肠杆菌、酿酒酵母和希瓦氏菌的Affyellow微阵列。表达数据被统一归一化，以使不同实验室和研究人员生成的数据更具可比性。为了便于计算分析，M3D提供原始数据（CEL文件）和每个纲要的标准化数据下载。此外，还提供了定制数据集的网络构建、可视化和下载，以方便有效查询简编，进行重点更突出的分析。M3D中的实验条件元数据是人工管理的，每个化学和生长属性存储为具有一致命名约定和单位的结构化和可计算的实验特征集。为每个物种构建的标准化纲要的所有版本都被永久保存和访问，以便于将来对M3D数据上发表的结果进行解释和比较。M3 D可通过http://m3d.bu.edu/访问。
Many Microbe Microarrays Database (M3D) is designed to facilitate the analysis and visualization of expression data in compendia compiled from multiple laboratories. M3D contains over a thousand Affymetrix microarrays for Escherichia coli, Saccharomyces cerevisiae and Shewanella oneidensis. The expression data is uniformly normalized to make the data generated by different laboratories and researchers more comparable. To facilitate computational analyses, M3D provides raw data (CEL file) and normalized data downloads of each compendium. In addition, web-based construction, visualization and download of custom datasets are provided to facilitate efficient interrogation of the compendium for more focused analyses. The experimental condition metadata in M3D is human curated with each chemical and growth attribute stored as a structured and computable set of experimental features with consistent naming conventions and units. All versions of the normalized compendia constructed for each species are maintained and accessible in perpetuity to facilitate the future interpretation and comparison of results published on M3D data. M3D is accessible at http://m3d.bu.edu/.
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影响因子：
11.7
作者：
Gardner, Timothy S.;Faith, Jeremiah J.
通讯作者：
Faith, Jeremiah J.
DOI：
10.1073/pnas.2136632100
发表时间：
2003-12-23
影响因子：
11.1
作者：
Liao, JC;Boscolo, R;Roychowdhury, VP
通讯作者：
Roychowdhury, VP
影响因子：
46.9
作者：
di Bernardo, D;Thompson, MJ;Collins, JJ
通讯作者：
Collins, JJ
NCBI GEO：开采数以百万计的表达概况 - 数据库和工具更新。
影响因子：
14.9
作者：
Barrett, Tanya;Troup, Dennis B.;Wilhite, Stephen E.;Ledoux, Pierre;Rudnev, Dmitry;Evangelista, Carlos;Kim, Irene F.;Soboleva, Alexandra;Tomashevsky, Maxim;Edgar, Ron
通讯作者：
Edgar, Ron
影响因子：
14.9
作者：
Maglott, Donna;Ostell, Jim;Pruitt, Kim D;Tatusova, Tatiana
通讯作者：
Tatusova, Tatiana