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 developments are stressed to face the huge amounts of data that will soon become available in all kingdoms of life. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Peterlongo, P., Nicolas, J., Lavenier, D., Vorc’H, R., & Querellou, J. (2009). C-GAMMA:Comparative Genome Analysis of Molecular Markers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5780 LNBI, pp. 255–269). https://doi.org/10.1007/978-3-642-04031-3_23
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