DocumentCode :
1986643
Title :
Fast and accurate probe selection algorithm for large genomes
Author :
Sung, Wing-Kin ; Lee, Wah-Heng
Author_Institution :
Dept. of Comp. Sci., Nat. Univ. of Singapore, Singapore
fYear :
2003
fDate :
11-14 Aug. 2003
Firstpage :
65
Lastpage :
74
Abstract :
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.
Keywords :
DNA; biology computing; diseases; drugs; fingerprint identification; genetics; patient diagnosis; probes; DNA chip; DNA fragments; accurate probe selection algorithm; disease diagnosis; drug discovery; fast probe selection algorithm; filtering technique; fingerprint; gene discovery; genomes; oligo microarray technology; toxicological research; Bioinformatics; DNA; Diseases; Drugs; Filtering; Fingerprint recognition; Genomics; Pharmaceutical technology; Probes; Toxicology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7695-2000-6
Type :
conf
DOI :
10.1109/CSB.2003.1227305
Filename :
1227305
Link To Document :
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