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Fast and accurate probe selection algorithm for large genomes.
Sung, Wing-Kin; Lee, Wah-Heng.
Affiliation
  • Sung WK; Department of Computer Science, National University of Singapore, Singapore. ksung@comp.nus.edu.sg
Article in En | MEDLINE | ID: mdl-16452780
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.
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Database: MEDLINE Main subject: Algorithms / DNA Probes / Sequence Alignment / Chromosome Mapping / Genome / Sequence Analysis, DNA / Oligonucleotide Array Sequence Analysis Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2003 Type: Article
Search on Google
Database: MEDLINE Main subject: Algorithms / DNA Probes / Sequence Alignment / Chromosome Mapping / Genome / Sequence Analysis, DNA / Oligonucleotide Array Sequence Analysis Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2003 Type: Article