Web-based interrogation of gene expression signatures using EXALT.
Web-based interrogation of gene expression signatures using EXALT.
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DOI：
10.1186/1471-2105-10-420
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发表时间：
2009-12-14
影响因子：
3
通讯作者：
Yi Y
中科院分区：
文献类型：
--
作者：
Wu J;Qiu Q;Xie L;Fullerton J;Yu J;Shyr Y;George AL Jr;Yi Y
广泛使用高通量技术，如微阵列来监测基因表达水平，导致公共领域数据集的爆炸性增长。集成和探索这些复杂且异质的数据已成为一大挑战。EALT(表达特征分析工具)在线程序允许对来自公共可访问来源的基因表达谱进行荟萃分析。可以对两个大型数据库进行在线搜索，该数据库目前包含来自GEO(基因表达总括图)的28,000多个基因表达签名，并发布了人类癌症的表达概况。基因表达特征之间的比较可以通过同源性分析和共表达分析来执行。结果可以在曲线图或热图中立即可视化。文中举例说明了三个典型的用例。EALT在线程序特别适合于发现转录图谱之间的关系，并搜索来自不同生理和病理环境的基因表达模式。非商业用户可以从http://seq.mc.vanderbilt.edu/exalt/.免费获得Exalt Online计划
Widespread use of high-throughput techniques such as microarrays to monitor gene expression levels has resulted in an explosive growth of data sets in public domains. Integration and exploration of these complex and heterogeneous data have become a major challenge. The EXALT (EXpression signature AnaLysis Tool) online program enables meta-analysis of gene expression profiles derived from publically accessible sources. Searches can be executed online against two large databases currently containing more than 28,000 gene expression signatures derived from GEO (Gene Expression Omnibus) and published expression profiles of human cancer. Comparisons among gene expression signatures can be performed with homology analysis and co-expression analysis. Results can be visualized instantly in a plot or a heat map. Three typical use cases are illustrated. The EXALT online program is uniquely suited for discovering relationships among transcriptional profiles and searching gene expression patterns derived from diverse physiological and pathological settings. The EXALT online program is freely available for non-commercial users from http://seq.mc.vanderbilt.edu/exalt/.
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影响因子：
168.9
作者：
Wang, YX;Klijn, JGM;Foekens, JA
通讯作者：
Foekens, JA
影响因子：
37.8
作者：
Heidecker, Bettina;Kasper, Edward K.;Hare, Joshua M.
通讯作者：
Hare, Joshua M.
影响因子：
6.4
作者：
Ockenhouse, CF;Bernstein, WB;Vahey, MT
通讯作者：
Vahey, MT
影响因子：
12.3
作者：
Newman, JC;Weiner, AM
通讯作者：
Weiner, AM
影响因子：
3.1
作者：
Colantuoni, Carlo;Hyde, Thomas M.;Kleinman, Joel E.
通讯作者：
Kleinman, Joel E.