Bioinformatics Advance Access originally published online on March 1, 2007
Bioinformatics 2007 23(8):966-971; doi:10.1093/bioinformatics/btm043
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Microarray blob-defect removal improves array analysis


1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Department of Biostatistics, Harvard School of Public Health, 2Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, 3Microarray Core Facility and 4Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
*To whom correspondence should be addressed.
| Abstract |
|---|
Motivation: New generation Affymetrix oligonucleotide microarrays often have blob-like image defects that will require investigators to either repeat their hybridization assays or analyze their data with the defects left in place. We investigated the effect of analyzing a spike-in experiment on Affymetrix ENCODE tiling arrays in the presence of simulated blobs covering between 1 and 9% of the array area. Using two different ChIP-chip tiling array analysis programs (Affymetrix tiling array software, TAS, and model-based analysis of tiling arrays, MAT), we found that even the smallest blob defects significantly decreased the sensitivity and increased the false discovery rate (FDR) of the spike-in target prediction.
Results: We introduced a new software tool, the microarray blob remover (MBR), which allows rapid visualization, detection and removal of various blob defects from the .CEL files of different types of Affymetrix microarrays. It is shown that using MBR significantly improves the sensitivity and FDR of a tiling array analysis compared to leaving the affected probes in the analysis.
Availability: The MBR software and the sample array .CEL files used in this article are available at: http://liulab.dfci.harvard.edu/Software/MBR/MBR.htm
Contact: xsliu{at}jimmy.harvard.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
Associate Editor: Joaquin Dopazo
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.
Received on October 13, 2006; revised on January 21, 2007; accepted on February 3, 2007
This article has been cited by other articles:
![]() |
J. M. Arteaga-Salas, H. Zuzan, W. B. Langdon, G. J. G. Upton, and A. P. Harrison An overview of image-processing methods for Affymetrix GeneChips Brief Bioinform, January 1, 2008; 9(1): 25 - 33. [Abstract] [Full Text] [PDF] |
||||
