Bioinformatics applications are one of the most compute-demanding applications today. While traditionally these applications are executed on cluster or dedicated parallel systems, this paper by M. Charalambous, P. Trancoso, and A. Stamatikis at the University of Cyprus and FORTH explores the use of an alternative architecture. The authors focus on exploiting the characteristics offered by the graphics processors (GPU) in order to accelerate a bioinformatics application. This paper presents the initial results on porting RAxML, a bioinformatics program for phylogenetic tree inference, to the GPU. (Initial Experiences Porting a Bioinformatics Application to a Graphics Processor. M. Charalambous, P. Trancoso, and A. Stamatakis. Proceedings of the 10th Panhellenic Conference in Informatics (PCI 2005))