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tRMA - tools for R microarray analysis

This package contains tools for spatial median normalization and housekeeping normalization of gene microarray data. The techniques are described in the paper "New normalization methods for cDNA microarray data" are available here. The full reference for the paper is below.

Some other functions for summarizing, comparing, clustering and finding differentially expressed genes are also available in tRMA. A wider range of tools is available in Bioconductor.

tRMA History

tRMA was originally written by Dale Wilson, with contributions from Scott Chapman, prior to the development of Bioconductor. In order to avoid maintenance of duplicate code and to make the routines available in a standard form the original tRMA has been converted to use Bioconductor style wherever possible. It provides wrapper functions for the convenience of the original users. The normalization routines are available in the form used by the marray packages.

Installation

  • Bioconductor is essential. Follow the installation instructions available at the web site.
  • Register to download tRMA

Documentation

The translation to bioconductor style is still work in progress, and documentation is incomplete. The package contains a vignette, which describes use of the new normalization routines. Versions of the vignette are also available here

Contacts

Comments, bug reports and suggestions are welcome.
trma@csiro.au


Reference

"New normalization methods for cDNA microarray data", by D. L. Wilson, M. J. Buckley, C. A. Helliwell and I. W. Wilson, Bioinformatics vol 19, no 11 2003, pages 1325-1332


"Using biplots to interpret gene expression patterns in plants", by Scott Chapman, Peer Schenk, Kemal Kazan and John Manners. Bioinformatics Vol. 18 no. 1 2002Pages 202-204 .

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