Abstract
The functional characterization of available genomic sequences is the major task of the research in the post-genome era. This complex task requires an integrative approach of high-throughput systems with in vitro and in vivo models in order to have a reliable evaluation of the biological function. The oligonucleotide antisense technology is one of the most promising approaches for the investigation of gene function; the crucial point of antisense experiments is the identification of optimal target sites for hybridisation. In this paper we have applied a bioinformatic tool for the recognition of optimal antisense targets. In order to evaluate the effect of mutational events on target selection we have tested the program on a sample of human ?-hemoglobin variants. The proposed algorithm software will be integrated in a web based tool at the site: http://www.nettab.org/agewa