Comparing Bacterial Genomes by Searching Their Common Intervals

  • Authors:
  • Sébastien Angibaud;Damien Eveillard;Guillaume Fertin;Irena Rusu

  • Affiliations:
  • Computational Biology group (ComBi) Laboratoire d'Informatique de Nantes-Atlantique (LINA),UMR CNRS 6241, Université de Nantes, Nantes Cedex 3, France 44322;Computational Biology group (ComBi) Laboratoire d'Informatique de Nantes-Atlantique (LINA),UMR CNRS 6241, Université de Nantes, Nantes Cedex 3, France 44322;Computational Biology group (ComBi) Laboratoire d'Informatique de Nantes-Atlantique (LINA),UMR CNRS 6241, Université de Nantes, Nantes Cedex 3, France 44322;Computational Biology group (ComBi) Laboratoire d'Informatique de Nantes-Atlantique (LINA),UMR CNRS 6241, Université de Nantes, Nantes Cedex 3, France 44322

  • Venue:
  • BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
  • Year:
  • 2009

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Abstract

Comparing bacterial genomes implies the use of a dedicated measure. It relies on comparing circular genomes based on a set of conserved genes. Following this assumption, the common interval appears to be a good candidate. For evidences, we propose herein an approach to compute the common intervals between two circular genomes that takes into account duplications. Its application on a concrete case, comparing E. coli and V. cholerae, is accurate. It indeed emphasizes sets of conserved genes that present high impacts on bacterial functions.