Abstract
DNA Microarray is a powerful tool to measure the level of a mixed population of nucleic acids at one time, which has great impact in many aspects of life sciences research. In order to distinguish nucleic acids with very similar composition by hybridization, it is necessary to design microarray probes with high specificities and sensitivities. Highly specific probes correspond to probes having unique DNA sequences; whereas highly sensitive probes correspond to those with melting temperature within a desired range and having no secondary structure. The selection of these probes from a set of functional DNA sequences (exons) constitutes a computationally expensive discrete non-linear search problem. We delegate the search task to a simple yet effective Evolution Strategy algorithm. The computational efficiency is also greatly improved by making use of an available bioinformatics tool.
| Original language | English |
|---|---|
| Pages (from-to) | 787-800 |
| Journal | International Journal of Systems Science |
| Volume | 35 |
| Issue number | 13-14 |
| DOIs | |
| Publication status | Published - 20 Oct 2004 |
| Externally published | Yes |
Bibliographical note
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