Bioinformatics Advance Access published online on August 12, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm399
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Expression ratio evaluation in two-colour microarray experimentsis significantly improved by correcting image mis-alignment
1Centre de Génétique Moléculaire, CNRS UPR2167 and Gif/Orsay DNA MicroArray Platform (GODMAP), 91190 Gif-sur-Yvette, France
2Université Pierre et Marie Curie - Paris 6, 75005 Paris, France
3Université Paris-Sud - Paris 11, 91405 Orsay, France
*To whom correspondence should be addressed. Thomas Tang, E-mail: tang{at}cgm.cnrs-gif.fr
| Abstract |
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Motivation: Two-colour microarrays are widely used to perform transcriptome analysis. In most cases, it appears that the "red" and "green" images resulting from the scan of a microarray slide are slightly shifted one with respect to the other. To increase the robust-ness of the measurement of the fluorescent emission intensities, multiple acquisitions with the same or different PMT gains can be used. In these cases, a systematic correction of image shift is re-quired.
Results: To accurately detect this shift, we first developed an ap-proach using cross-correlation. Secondly, we evaluated the most appropriate interpolation method to be used to derive the registered image. Then, we quantified the effects of image shifts on spot qual-ity, using two different quality estimators. Finally, we measured the benefits associated with a systematic image registration. In this study, we demonstrate that registering the two images prior to data extraction provides a more reliable estimate of the two colours ratio and thus increases the accuracy of measurements of variations in gene expression.
Availability: http://bioinfome.cgm.cnrs-gif.fr/
Contact: tang{at}cgm.cnrs-gif.fr
Associate Editor: Prof. David Rocke
Received on June 13, 2007; revised on July 26, 2007; accepted on August 2, 2007