Mathieu Raffinot
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Explore the profile of Mathieu Raffinot including associated specialties, affiliations and a list of published articles.
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7
Citations
34
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Recent Articles
1.
de Montgolfier F, Raffinot M, Rusu I
J Comput Biol
. 2014 Mar;
21(7):520-33.
PMID: 24650221
In this article we explain how to easily compute gene clusters, formalized by classical or generalized nested common or conserved intervals, between a set of K genomes represented as K...
2.
Ouangraoua A, Raffinot M
J Comput Biol
. 2013 Oct;
21(1):64-79.
PMID: 24106802
In computional biology, up-to-date homology-based methods for the reconstruction of ancestral gene orders usually rely on two phases. First, potential ancestral co-localizations of some genomic markers are detected from homologies...
3.
Pasek S, Bergeron A, Risler J, Louis A, Ollivier E, Raffinot M
Genome Res
. 2005 May;
15(6):867-74.
PMID: 15899966
The detection, across several genomes, of local conservation of gene content and proximity considerably helps the prediction of features of interest, such as gene fusions or physical and functional interactions....
4.
El-Mabrouk N, Raffinot M, Duchesne J, Lajoie M, Luc N
J Bioinform Comput Biol
. 2005 Apr;
3(2):317-42.
PMID: 15852508
Several methods have been developed for identifying more or less complex RNA structures in a genome. All these methods are based on the search for conserved primary and secondary sub-structures....
5.
Dudoignon L, Glemet E, Heus H, Raffinot M
Proc IEEE Comput Soc Bioinform Conf
. 2005 Apr;
1:228-36.
PMID: 15838139
We present a fast algorithm for sequence clustering and searching which works with large sequence databases. It uses a strictly defined similarity measure. The algorithm is faster than conventional EST...
6.
Navarro G, Raffinot M
J Comput Biol
. 2004 Feb;
10(6):903-23.
PMID: 14980017
The problem of fast exact and approximate searching for a pattern that contains classes of characters and bounded size gaps (CBG) in a text has a wide range of applications,...
7.
Luc N, Risler J, Bergeron A, Raffinot M
Comput Biol Chem
. 2003 Jun;
27(1):59-67.
PMID: 12798040
This paper describes an efficient algorithm based on a new concept called gene team for detecting conserved gene clusters among an arbitrary number of chromosomes. Within the clusters, neither the...