MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis

Department of Microbiology, University of Washington, Seattle, WA 98195, USA.
Genome biology (Impact Factor: 10.81). 07/2008; 9(7):R118. DOI: 10.1186/gb-2008-9-7-r118
Source: PubMed


We present MeV+R, an integration of the JAVA MultiExperiment Viewer program with Bioconductor packages. This integration of MultiExperiment Viewer and R is easily extensible to other R packages and provides users with point and click access to traditionally command line driven tools written in R. We demonstrate the ability to use MultiExperiment Viewer as a graphical user interface for Bioconductor applications in microarray data analysis by incorporating three Bioconductor packages, RAMA, BRIDGE and iterativeBMA.

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Available from: Roger Bumgarner, Oct 09, 2015
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    • "The raw microarray data sets were normalized using Robust Multi-Array average (RMA) implemented in BioConductor [67]. The normalized expression files were analyzed using the Multiexperiment Viewer (MeV) [68]. To help identify similarities and differences in the expression profiles among the evolved and the parental strains, the gene expression patterns were subjected to cluster analyses implemented within MeV. "
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