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Published Articles >> Table of Contents >> Abstract
IEEE Computer Society Bioinformatics Conference (CSB'03)
p. 65
Fast and Accurate Probe Selection Algorithm for Large Genomes
Wing-Kin Sung, National University of Singapore
Wah-Heng Lee, Genome Institute of Singapore
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSB.2003.1227305
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| Abstract |
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The oligo microarray (DNA chip) technology in recent years has a significant impact on genomic study. Many fields such as gene discovery, drug discovery, toxicological research and disease diagnosis, will certainly benefit from its use. A microarray is an orderly arrangement of thousands of DNA fragments where each DNA fragment is a probe (or a fingerprint) of a gene/cDNA. It is important that each probe must uniquely associate with a particular gene/cDNA. Otherwise, the performance of the microarray will be affected. Existing algorithms usually select probes using the criteria of homogeneity, sensitivity, and specificity. Moreover, they improve efficiency employing some heuristics. Such approaches reduce the accuracy. Instead, we make use of some smart filtering techniques to avoid redundant computation while maintaining the accuracy. Based on the new algorithm, optimal short (20 bases) or long (50 or 70 bases) probes can be computed efficiently for large genomes.
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Citation:
Wing-Kin Sung, Wah-Heng Lee,
"Fast and Accurate Probe Selection Algorithm for Large Genomes,"
csb,
p. 65,
IEEE Computer Society Bioinformatics Conference (CSB'03),
2003
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