title: D-ASSIRC: distributed program for finding sequence similarities in genomes.
abstract: BACKGROUND
  Locating the regions of similarity in a genome requires the availability of appropriate tools such as 'Accelerated Search for SImilar Regions in Chromosomes' (ASSIRC; Vincens et al., Bioinformatics, 14, 715-725, 1998). The aim of this paper is to present different strategies for improving this program by distributing the operations and data to multiple processing units and to assess the efficiency of the different implementations in terms of running time as a function of the number of processing units.
  
  
  RESULTS
  The new version D-ASSIRCis based on three alternative strategies of task sharing: (1) a distributed search using the splitting of studied sequences into large overlapping subsequences (strategy ASS); (2) two distributed searches for repeated exact motifs of fixed size either managed by a central processor (strategy AGD) or locally managed by numerous processors (strategy ALD). The result is that the strategy ASSis suitable for a large number of processing units (the time was divided by a factor of 12 when the number of processing units was increased from 1 to 16) wheras the strategy ALDis better for a small set of processors (typically for four or six). The different proposed strategies are efficient for various applications in genomic research, particularly for locating similarities of nucleic sequences in large genomes.
  
  
  BACKGROUND
  D-ASSIRCis freely available by anonymous FTP at ftp://ftp.ens.fr/pub/molbio/dassirc.tar.gz. Sources and binaries for Solaris and Linux are included in the distribution.
authors.affiliation: Département de Biologie (FR 36), Ecole Normale Supérieure, 46 rue d'Ulm, 75230 Paris Cedex 05, France. vincens@biologie.ens.fr
authors.forename: Pierre
authors.initials: P
authors.lastname: Vincens
authors.forename: Anne
authors.initials: A
authors.lastname: Badel-Chagnon
authors.forename: Cécile
authors.initials: C
authors.lastname: André
authors.forename: Serge
authors.initials: S
authors.lastname: Hazout
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D003205:Computing Methodologies; D004247:DNA / Q000235:genetics*; D030561:Databases, Nucleic Acid; D016678:Genome; D008969:Molecular Sequence Data; D009317:National Library of Medicine (U.S.); D011786:Quality Control; D012441:Saccharomyces cerevisiae / Q000235:genetics; D012680:Sensitivity and Specificity; D016415:Sequence Alignment / Q000379:methods*; D017385:Sequence Homology; D012984:Software; D013997:Time Factors; D014481:United States
chemical_list: D004247:DNA