Guerdoux-Jamet P, Risler J L
Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Rennes, France.
Biochimie. 1996;78(5):311-4. doi: 10.1016/0300-9084(96)84762-6.
A significant proportion of coding sequences or open reading frames discovered in the course of sequencing projects do not show any similarity with other sequences deposited with the protein databanks. In such cases the search for similarities must be performed with as many comparison algorithms as possible, so as to increase the chance of finding weak relationships. A specialised parallel hardware (SAMBA) implementing the Smith & Waterman algorithm has been developed at the 'Institut de Recherche en Informatique et Systèmes Aléatoìres' (IRISA). It makes it possible to scan protein databanks at a speed comparable with that of BLAST or FASTA. We report here a study performed with SAMBA on 814 orphan sequences from S cerevisiae and compare the results with those from BLAST and FASTA.
