High-performance comparative annotation

David James Sherman 1, 2, * Nicolás Loira 1, 2 Natalia Golenetskaya 1, 2
* Auteur correspondant
2 MAGNOME - Models and Algorithms for the Genome
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : Recent advances in sequencing technology have given rise to a new strategy in genome sequencing: whereas previously it was only possible to sequence and laboriously annotate one genome at a time, we now routinely sequence and compare groups of 5-10 phylogenetically related species and strains at a time. Does it still make sense to assemble whole genomes? We argue yes, on the condition that automatic whole-genome annotation and comparison can be performed on a large scale. We the results that can be obtained with our Magus comparative genomics pipeline, and show how its itegrated, comparative view of related genomes can be exploited for comparative whole-genome metabolic modeling and for high-level data-mining.
Type de document :
Communication dans un congrès
Makeev, Vsevolod and Kucherov, Gregory. Bioinformatics after next-generation sequencing, Jun 2010, Zvenigorod, Russia. 2010, inria
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https://hal.inria.fr/inria-00563533
Contributeur : David James Sherman <>
Soumis le : dimanche 6 février 2011 - 11:21:53
Dernière modification le : jeudi 11 janvier 2018 - 06:22:12

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  • HAL Id : inria-00563533, version 1

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David James Sherman, Nicolás Loira, Natalia Golenetskaya. High-performance comparative annotation. Makeev, Vsevolod and Kucherov, Gregory. Bioinformatics after next-generation sequencing, Jun 2010, Zvenigorod, Russia. 2010, inria. 〈inria-00563533〉

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