c-GAMMA: Comparative Genome Analysis of Molecular Markers

Discovery of molecular markers for efficient identification of living organisms remains a challenge of high interest. The diversity of species can now be observed in details with low cost genomic sequences produced by new generation of sequencers. A method, called c-GAMMA, is proposed. It formalizes the design of new markers for such data. It is based on a series of filters on forbidden pairs of words, followed by an optimization step on the discriminative power of candidate markers. First results are presented on a set of microbial genomes. The importance of further developments are stressed to face the huge amounts of data that will soon become available in all kingdoms of life.

• Type: Conference
• Year: 2009
• Where: PRIB
• Authors: Pierre Peterlongo, Jacques Nicolas, Dominique Lavenier, Raoul Vorc'h, Joël Querellou
• Keywords: Bioinformatics, Cost Genomic Sequences, Living Organisms, Molecular Markers, PRIB 2009