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Harshlight: a "corrective make-up" program for microarray chips

BioMed Central
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  • Software
  • Computer Science

Abstract ral ss BioMed CentBMC Bioinformatics Open AcceSoftware Harshlight: a "corrective make-up" program for microarray chips Mayte Suárez-Fariñas†1, Maurizio Pellegrino†1, Knut M Wittkowski2 and Marcelo O Magnasco*1 Address: 1Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Ave, Box 212, New York, NY 10021, USA and 2General Clinical Research Center, The Rockefeller University, 1230 York Ave, Box 327, New York, NY 10021, USA Email: Mayte Suárez-Fariñas - [email protected]; Maurizio Pellegrino - [email protected]; Knut M Wittkowski - [email protected]; Marcelo O Magnasco* - [email protected] * Corresponding author †Equal contributors Abstract Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings, etc. Microarray scans do show similar artifacts, which might affect subsequent analysis. Although all but the starkest blemishes are hard to find by the unaided eye, particularly in high-density oligonucleotide arrays (HDONAs), few tools are available to help with the detection of those defects. Results: We develop a novel tool, Harshlight, for the automatic detection and masking of blemishes in HDONA microarray chips. Harshlight uses a combination of statistic and image processing methods to identify three different types of defects: localized blemishes affecting a few probes, diffuse defects affecting larger areas, and extended defects which may invalidate an entire chip. Conclusion: We demonstrate the use of Harshlight can materially improve analysis of HDONA chips, especially for experiments with subtle changes between samples. For the widely used MAS5 algorithm, we show that compact blemishes cause an average of 8 gene expression values per chip to change by more than 50%, two of them by more than twofold; our masking algorithm restores about two thirds of this damage. Large-sca

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