Research |
Activities
I'm a PhD in computer sciences since 8th of April 2002, specialized in
bio-computing.
The topic I'm interested in is the development of algorithms
aiming to detect specific signals (such as transciption binding sites)
in DNA
sequences.
You can find here the manuscript (in
french)
and the tool we made, called SMILE.
Publications
International
conferences
(with program committee)
International publications (with program commitee)
L. Marsan and M.-F. Sagot.
Algorithms for
extracting structured motifs using a suffix tree with application
to promoter and regulatory site consensus identification
J. of Comput. Biol., 7:345-360, 2000.
A. Vanet, L. Marsan, and M.-F.
Sagot.
Promoter sequences and
algorithmical methods for identifying them.
Research in Microbiology 150 (1999): 779-799.
A. Vanet, L. Marsan, A. Labigne,
and
M.-F. Sagot.
Inferring regulatory elements
from a whole genome. An analysis of the sigma 80 family of promoter
signals.
J. Mol. Biol. 297(2) (2000): 335-353.
D. Arquès, J.-P. Fallot, L. Marsan and C. Michel.
An evolutionary analytical model of a complementary circular
code.
Biosystems 49(2) (1999): 83-103.
A. Vanet, E. Ollivier, L. Marsan and S. Brouillet.
HIV database.
JOBIM'05, Lyon, France, 2005.
S. Brouillet, E. Ollivier, L. Marsan and A. Vanet.
HIV : from
structure to
therapeutic target.
JOBIM'05, Lyon, France, 2005.
E. Ollivier , S. Brouillet, L. Marsan and A. Vanet.
HIV : a
medicine for one
day, a medicine forever.
JOBIM'05, Lyon, France, 2005.
L. Marsan, S. Brouillet, E. Ollivier and A. Vanet.
HIV
:
towards stable multi-therapies.
JOBIM'05, Lyon, France, 2005.
A. Vanet, S. Brouillet, E. Ollivier and L. Marsan (2006).
Nouvelle méthode statistique et résultats bioinformatiques pour l'identification de sites de fixation de médicaments contre les virus à haut taux de mutabilité.
En cours.
A. Vanet, S. Brouillet, L. Marsan and E. Ollivier (2006).
Continuation In Part (CIP) n°13052-US-02 du brevet n° 10/734023 (CNRS, 2006)
Method for identifying motifs and/or combinations of motifs
having a boolean state of predetermined mutation
in a set of sequences and its applications