Showing results 5701 to 5720 on 6699 in total
Pascaline Dumas, Fabrice Legeai, Claire Lemaitre, Erwan Scaon, Marion Orsucci, Karine Labadie, Sylvie Gimenez, Anne Laure Clamens, Hélène Henri, Fabrice Vavre, Jean-Marc Aury, Philippe Fournier, Gael Kergoat, Emmanuelle d'Alençon
Transposable elements (TEs) are now known to occupy a huge proportion of most multicellular eukaryotic genomes, yet the factors influencing their proliferation are only beginning to be investigated. In addition to giving a brief overview of their role in genome evolution, I will discuss recent work on a few important factors (sex, horizontal transfer, and transposition rates) that influence the coevolutionary dynamics between TEs and the host genomes they inhabit.
Julie Perinel, Gennaro Nappo, Alessandro Zerbi, Charlotte Heidsma, Elisabeth J.M. Nieveen van Dijkum, Ho Seong Han, Yoo-Seok Yoon, Sohei Satoi, Ihsan Ekin Demir, Helmut Friess, Yogesh Vashist, Jakob Izbicki, Alexandra Charlotte Muller, Beat Gloor, Marta Sandini, Luca Gianotti, Fabien Subtil, Mustapha Adham
C. Brochier-Armanet, Simonetta Gribaldo, Patrick Forterre
S. Périquet, M. Valeix, J. Claypole, N. Drouet-Hoguet, J. Salnicki, S. Mudimba, E. Revilla, H. Fritz
C.D. Andrew, Simon Penel, G.R. Jones, A.J. Doig
Virginie Ladroue, Loïc Louis, Fabrice Besacier, Anne-Béatrice Dufour, Patrick Goetinck, Magali Batteau, Sylvie Guibert, Patrick Jame, Hervé Casabianca
C. Ohmann, W. Kuchinke, S. Canham, J. Lauritsen, N. Salas, C. Schade-Brittinger, M. Wittenberg, G. Mcpherson, J. Mccourt, François Gueyffier, A. Lorimer, F. Torres
Jos Käfer, S. Mousset
Barthelémy Ngoubangoye, David Fouchet, Larson Amédée Boundenga, Cécile Cassan, Céline Arnathau, Helene Meugnier, Thierry-Audrey Tsoumbou, Serge Ely Dibakou, Désiré Otsaghe Ekore, Yasmine Okomo Nguema, Nancy Diamella Moukodoum, Arsene Mabicka, Tristan Ferry, Jean Phillipe Rasigade, Franck Prugnolle, Anne-Laure Bañuls, François Renaud, Dominique Pontier
Barthelémy Ngoubangoye, David Fouchet, Larson Amédée Boundenga, Cécile Cassan, Céline Arnathau, Helene Meugnier, Thierry-Audrey Tsoumbou, Serge Ely Dibakou, Désiré Otsaghe Ekore, Yasmine Okomo Nguema, Nancy Diamella Moukodoum, Arsene Mabicka, Tristan Ferry, Jean Phillipe Rasigade, Franck Prugnolle, Anne-Laure Bañuls, François Renaud, Dominique Pontier
Coralie Bouchiat, Karen Moreau, Sébastien Devillard, Jean-Philippe Rasigade, Amandine Mosnier, Thomas Geissmann, Michèle Bes, Anne Tristan, Gérard Lina, Frédéric Laurent, Lionel Piroth, Nejla Aissa, Xavier Duval, Vincent Le Moing, François Vandenesch, French Virsta Study Group
Vincent Daubin, H. Ochman
J. Thioulouse
L. Duret, Dominique Mouchiroud, Christian Gautier
Basal-like breast cancers are among the breast cancers with the poorest prognoses and patients do not benefit from any targeted therapy yet. We aim to identify the deregulated signaling pathways using genomic, transcriptomic and proteomic (RPPA) data in order to identify therapeutic targets. In this talk, I will focus on the analysis of SNP and CGH data. More specifically, I will discuss several statistical and algorithmic challenges directly related to their statistical analysis.1) Normalisation One important issue when analyzing SNP profiles is their normalisation. Indeed, especially with tumour profiles, it cannot be assumed that most of the genome is normal and it has been shown that not taking these genomic alterations into account while normalising leads to over-correction. We propose a method to estimate the signal (or copy number) and correct technical artefacts simultaneously.2) Exact and Fast segmentation A CGH profile can be viewed as a succession of segments representing regions in the genome that share the same DNA copy number. Multiple-change-point detection methods constitute a natural framework for their analysis and the detection of breakpoints. However, recovering the optimal position of the breakpoints is not an easy task, especially for large SNP profiles such as Affymetrix SNP 6.0. We propose an algorithm to recover quickly the best segmentation (the maximum likelihood estimate).3) Assessing the quality of a segmentation Assessing the quality of a segmentation and in particular the confidence we have in a particular breakpoint is a difficult problem. We propose algorithms and statistical methods to assess and take into account the quality of possible segmentations.
S. Mirarab, M. S. Bayzid, Bastien Boussau, T. Warnow
Elise Billoir, M.L. Delignette-Müller, A. Pery, Olivier Geffard, S. Charles
Catherine Matias, Vincent Miele
Olivier Gimenez, Stephen T. Buckland, Byron J.T. Morgan, Nicolas Bez, Sophie Bertrand, Rémi Choquet, Stéphane Dray, Marie-Pierre Etienne, Rachel Fewster, Frédéric Gosselin, Bastien Mérigot, Pascal Monestiez, Juan M. Morales, Frédéric Mortier, François Munoz, Otso Ovaskainen, Sandrine Pavoine, Roger Pradel, Frank Schurr, Len Thomas, Wilfried Thuiller, Verena Trenkel, Perry de Valpine, Eric Rexstad