c-GAMMA:Comparative Genome Analysis of Molecular Markers View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

Pierre Peterlongo , Jacques Nicolas , Dominique Lavenier , Raoul Vorc’h , Joël Querellou

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. More... »

PAGES

255-269

Book

TITLE

Pattern Recognition in Bioinformatics

ISBN

978-3-642-04030-6
978-3-642-04031-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-04031-3_23

DOI

http://dx.doi.org/10.1007/978-3-642-04031-3_23

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043243646


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