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Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

Expression Profiler (EP, http://ep.ebi.ac.uk/) is a set of tools for the analysis and interpretation of gene expression and other functional genomics data. These tools perform expression data clustering, visualization, and analysis, integration of expression data with protein interaction data and functional annotations, such as GeneOntology, and the analysis of promoter sequences for predicting transcription factor binding sites. Several clustering analysis method implementations and tools for sequence pattern discovery provide a rich data mining environment for various types of biological data. All the tools are Web-based, with minimal browser requirements. Analysis results are cross-linked to other databases and tools are available on the Internet. This enables further integration of the tools and databases; for instance, such public microarray gene expression databases as Array Express.

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Vilo, J., Kapushesky, M., Kemmeren, P., Sarkans, U., Brazma, A. (2003). Expression Profiler. In: Parmigiani, G., Garrett, E.S., Irizarry, R.A., Zeger, S.L. (eds) The Analysis of Gene Expression Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-21679-0_6

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  • DOI: https://doi.org/10.1007/0-387-21679-0_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95577-3

  • Online ISBN: 978-0-387-21679-9

  • eBook Packages: Springer Book Archive

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