Publications associées à Mouton de Soay

Rapid identification and interpretation of gene‐environment associations using the new R.SamBada landscape genomics pipeline

Stéphane Joost, Oliver Michele Selmoni, Estelle Rochat, Sylvie Stucki, Kevin Leempoel, Elia Vajana, Solange Catherine Gaillard

Samβada is a genome‐environment association (GEA) software, designed to search for signatures of local adaptation. However, pre‐ and post‐processing of data can be labour‐intensive, preventing wider uptake of the method. We have now developed R.SamBada, an ...

2019

Optimizing Carbon Storage Within a Spatially Heterogeneous Upland Grassland Through Sheep Grazing Management

Charlotte Vandenberghe

Livestock grazing is known to influence carbon (C) storage in vegetation and soil. Yet, for grazing management to be used to optimize C storage, large scale investigations that take into account the typically heterogeneous distribution of grazers and C acr ...

Springer2014

Prenatally engineered autologous amniotic fluid stem cell-based heart valves in the fetal circulation

Peter Modregger, Marco Stampanoni, Markus Rudin, Chad Brokopp, Marc Farine

Prenatal heart valve interventions aiming at the early and systematic correction of congenital cardiac malformations represent a promising treatment option in maternal-fetal care. However, definite fetal valve replacements require growing implants adaptive ...

2012

Assessment of a sheep animal model to optimize photodynamic therapy with Foscan in the esophague

Hubert van den Bergh, Georges Wagnières, Matthieu Philippe Emmanuel Zellweger, François André Borle

Precursor lesions of oesophagus adenocarcinoma constitute a clinical dilemma. Photodynamic therapy (PDT) is an effective treatment for this indication, but it is difficult to optimise without an appropriate animal model. For this reason, we assessed the sh ...

Wiley-Blackwell2009

Detecting footprints of selection in Ovis aries by a spatial analysis approach

Stéphane Joost

Detecting adaptive loci in the genome is essential as it gives the possibility to understand what proportion of a genome or which genes are under the pressure of natural selection. In this paper, we used a Spatial Analysis Method (SAM) recently developed t ...

Edizioni Avenue Media2007