SyDiG: uncovering Synteny in Distant Genomes

Géraldine Jean (1) , Macha Nikolski (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique

Current methods for detecting synteny work well for genomes with high degrees of inter- and intra-species chromosomal homology, such as mammals. This paper presents a new algorithm for synteny computation that is well suited to genomes covering a large evolutionary span. It is based on a three-step process: identification of initial microsyntenic homologous regions, extension of homologous boundaries and reconstruction of syntenic blocks by identification of groups of homologous genomic segments that are conserved in every subject genome. Our method performs as well as GRIMM-Synteny on mammalian genomes, and outperforms it for clades with much greater evolutionary distances such as the Hemiascomycetous yeasts.

Domaines: Bio-informatique [q-bio.QM]; Bio-Informatique, Biologie Systémique [q-bio.QM]

Géraldine Jean, Macha Nikolski. SyDiG: uncovering Synteny in Distant Genomes. Int. J. of Bioinformatics Research and Applications, 2011, pp.43-62. ⟨10.1504/IJBRA.2011.039169⟩. ⟨hal-00737390⟩