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Summary: BioMed Central
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BMC Bioinformatics
BMC Bioinformatics2002, 3
Research article
Match-Only Integral Distribution (MOID) Algorithm for
high-density oligonucleotide array analysis
Yingyao Zhou1 and Ruben Abagyan*1,2
Address: 1Genomics Institute of the Novartis Research Foundation, 3115 Merryfield Row, San Diego, CA 92121, USA and 2The Scripps Research
Institute, Department of Molecular Biology, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA
E-mail: Yingyao Zhou - zhou@gnf.org; Ruben Abagyan* - abagyan@scripps.edu
*Corresponding author
Abstract
Background: High-density oligonucleotide arrays have become a valuable tool for high-
throughput gene expression profiling. Increasing the array information density and improving the
analysis algorithms are two important computational research topics.
Results: A new algorithm, Match-Only Integral Distribution (MOID), was developed to analyze
high-density oligonucleotide arrays. Using known data from both spiking experiments and no-
change experiments performed with Affymetrix GeneChip® arrays, MOID and the Affymetrix
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