{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T02:56:53Z","timestamp":1761101813839},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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.<\/jats:p><jats:p>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.<\/jats:p><jats:p>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<\/jats:p><jats:p>Contact: \u00a0xsliu@jimmy.harvard.edu<\/jats:p><jats:p>Supplementary information: Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btm043","type":"journal-article","created":{"date-parts":[[2007,3,2]],"date-time":"2007-03-02T04:00:18Z","timestamp":1172808018000},"page":"966-971","source":"Crossref","is-referenced-by-count":13,"title":["Microarray blob-defect removal improves array analysis"],"prefix":"10.1093","volume":"23","author":[{"given":"Jun S.","family":"Song","sequence":"first","affiliation":[{"name":"1 Department 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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaveh","family":"Maghsoudi","sequence":"additional","affiliation":[{"name":"1 Department 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"},{"name":"1 Department 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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"1 Department 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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward","family":"Fox","sequence":"additional","affiliation":[{"name":"1 Department 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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Quackenbush","sequence":"additional","affiliation":[{"name":"1 Department 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"},{"name":"1 Department 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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"X.","family":"Shirley Liu","sequence":"additional","affiliation":[{"name":"1 Department 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"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2007,3,1]]},"reference":[{"key":"2023041107552669100_","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1126\/science.1105136","article-title":"The ENCODE (ENCyclopedia Of DNA Elements) Project","volume":"306","author":"The ENCODE Project Consortium","year":"2004","journal-title":"Science"},{"key":"2023041107552669100_","article-title":"(Submitted for Publication) Defining the Rectal Dose Constraint for Permanent Radioactive Seed Implantation of the 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