Web-based interrogation of gene expression signatures using EXALT

Jun Wu, Qingchao Qiu, Lu Xie, Joseph Fullerton, Jian Yu, Yu Shyr, Alfred L. George, Yajun Yi*

*Corresponding author for this work

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Background: 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.Results: 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.Conclusions: 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/.

Original languageEnglish (US)
Article number420
JournalBMC bioinformatics
Volume10
DOIs
StatePublished - Dec 14 2009

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics

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