Journal Article

Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays

Chikara Furusawa, Naoaki Ono, Shingo Suzuki, Tomoharu Agata, Hiroshi Shimizu and Tetsuya Yomo

in Bioinformatics

Volume 25, issue 1, pages 36-41
Published in print January 2009 | ISSN: 1367-4803
Published online October 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn570
Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays

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Motivation: High-density DNA microarrays provide us with useful tools for analyzing DNA and RNA comprehensively. However, the background signal caused by the non-specific binding (NSB) between probe and target makes it difficult to obtain accurate measurements. To remove the background signal, there is a set of background probes on Affymetrix Exon arrays to represent the amount of non-specific signals, and an accurate estimation of non-specific signals using these background probes is desirable for improvement of microarray analyses.

Results: We developed a thermodynamic model of NSB on short nucleotide microarrays in which the NSBs are modeled by duplex formation of probes and multiple hypothetical targets. We fitted the observed signal intensities of the background probes with those expected by the model to obtain the model parameters. As a result, we found that the presented model can improve the accuracy of prediction of non-specific signals in comparison with previously proposed methods. This result will provide a useful method to correct for the background signal in oligonucleotide microarray analysis.

Availability: The software is implemented in the R language and can be downloaded from our website (http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/MSNS/).

Contact: furusawa@ist.osaka-u.ac.jp

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  4172 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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