BMC Bioinformatics

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Open Access Software

OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments

Morgan N Price1,2, Adam P Arkin1,2,3,4 and Eric J Alm1,2*

Author Affiliations

1 Lawrence Berkeley Lab, 1 Cyclotron Road, Mailstop 977-152, Berkeley CA 94720, USA

2 Virtual Institute of Microbial Stress and Survival

3 Howard Hughes Medical Institute, Berkeley CA, USA

4 University of California at Berkeley, Department of Bioengineering, Berkeley CA, USA

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BMC Bioinformatics 2006, 7:19 doi:10.1186/1471-2105-7-19

Published: 13 January 2006

Additional files

Additional File 1:

Distributions, in actual and simulated data, for observed means and squared total deviances

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Open Data

Additional File 2:

Relationship between means and variances in the data and in simulations

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Additional File 3:

Single-gene significance and agreement with operons for additional simulations

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Additional File 4:

OpWise.zip (includes source code in R, HTML instructions, and the data sets analyzed in this paper)

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Open Data