Skip to Main content Skip to Navigation
New interface
Conference papers

c-GAMMA: Comparative Genome Analysis of Molecular Markers

Pierre Peterlongo 1, * Jacques Nicolas 1 Dominique Lavenier 1 Raoul Vorc'H 1 Joël Querellou 2 
* Corresponding author
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : 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 devel- opments are stressed to face the huge amounts of data that will soon become available in all kingdoms of life.
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Pierre Peterlongo Connect in order to contact the contributor
Submitted on : Wednesday, October 21, 2009 - 10:30:22 AM
Last modification on : Saturday, August 6, 2022 - 3:33:05 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 12:31:19 PM


Files produced by the author(s)



Pierre Peterlongo, Jacques Nicolas, Dominique Lavenier, Raoul Vorc'H, Joël Querellou. c-GAMMA: Comparative Genome Analysis of Molecular Markers. Pattern Recognition in Bioinformatics, Sep 2009, Sheffield, United Kingdom. pp.255-269, ⟨10.1007/978-3-642-04031-3_23⟩. ⟨inria-00425373⟩



Record views


Files downloads