BMC Bioinformatics (Apr 2006)

<it>SIMAGE</it>: <it>si</it>mulation of DNA-<it>m</it>icro<it>a</it>rray <it>g</it>ene <it>e</it>xpression data

  • Kuipers Oscar P,
  • Kok Jan,
  • Jansen Ritsert C,
  • Albers Casper J,
  • van Hijum Sacha AFT

DOI
https://doi.org/10.1186/1471-2105-7-205
Journal volume & issue
Vol. 7, no. 1
p. 205

Abstract

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Abstract Background Simulation of DNA-microarray data serves at least three purposes: (i) optimizing the design of an intended DNA microarray experiment, (ii) comparing existing pre-processing and processing methods for best analysis of a given DNA microarray experiment, (iii) educating students, lab-workers and other researchers by making them aware of the many factors influencing DNA microarray experiments. Results Our model has multiple layers of factors influencing the experiment. The relative influence of such factors can differ significantly between labs, experiments within labs, etc. Therefore, we have added a module to roughly estimate their parameters from a given data set. This guarantees that our simulated data mimics real data as closely as possible. Conclusion We introduce a model for the simulation of dual-dye cDNA-microarray data closely resembling real data and coin the model and its software implementation "SIMAGE" which stands for simulation of microarray gene expression data. The software is freely accessible at: http://bioinformatics.biol.rug.nl/websoftware/simage.