Abstract
Background: Computational analyses have shown great potentials for providing tools for the rapid detection and identifi cation of fungi for medical, scientifi c and commercial purposes. Various bioinformatics tools have been developed for fi nding the specifi c regions within the ribosomal RNA (rRNA) gene complex. Candida is a genus of yeast that includes about 150 different species and is the most common cause of human ocular infections. In the present study, rapid detection method of Candida, based on specifi c regions (18S, 5.8S and 28S) of ribosomal RNA (rRNA) genes of eight (8) species e.g. C. albicans, C. krusei, C. parapsilosis, C. glabrata, C. guilliermondii, C. kefyr, C. lusitaniae and C. tropicalis has been developed. Rapid diagnosis and early identifi cation of causative agent through computational based methods with high accuracy will result in effective treatment.
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